In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
data_dir = '/input'
"""
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"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data Found celeba Data
show_n_images = 25
"""
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"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
<matplotlib.image.AxesImage at 0x7f92805cb908>
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.
show_n_images = 25
"""
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"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
<matplotlib.image.AxesImage at 0x7f928022b5f8>
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.
The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).
You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputsdiscriminatorgeneratormodel_lossmodel_opttrainThis will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
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"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.1.0 Default GPU Device: /gpu:0
Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width, image_height, and image_channels.z_dim.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
inputs_real = tf.placeholder(tf.float32,
shape=(None, image_width, image_height, image_channels),
name='input_real')
inputs_z = tf.placeholder(tf.float32,
shape=(None, z_dim),
name='input_z')
learning_rate = tf.placeholder(tf.float32, shape=(), name='learning_rate')
return inputs_real, inputs_z, learning_rate
"""
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"""
tests.test_model_inputs(model_inputs)
Tests Passed
Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images,
reuse=False,
alpha=0.2,
keep_prob=0.5):
"""
Create the discriminator network
:param images: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:param alpha
:param keep_prob: if set will perform drop out on a few layers
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
def leaky_relu(x):
return tf.maximum(alpha * x, x)
def drop_out(x):
# drop out only if keep_prob is set
return tf.nn.dropout(x, keep_prob=keep_prob) if keep_prob else x
with tf.variable_scope('discriminator', reuse=reuse):
# Input layer is 28x28x3
x1 = tf.layers.conv2d(images, filters=64, kernel_size=5, strides=2, padding='same')
relu1 = drop_out(leaky_relu(x1))
# we will reduce image dimensions by half and double the depth between each layers.
# 14x14x64
x2 = tf.layers.conv2d(relu1, filters=128, kernel_size=5, strides=2, padding='same')
relu2 = drop_out(leaky_relu(tf.layers.batch_normalization(x2, training=True)))
# 7x7x128
x3 = tf.layers.conv2d(relu2, filters=256, kernel_size=5, strides=2, padding='same')
relu3 = drop_out(leaky_relu(tf.layers.batch_normalization(x3, training=True)))
# 4x4x256
# Flatten it
flat = tf.reshape(relu3, (-1, 4 * 4 * 256))
logits = tf.layers.dense(flat, 1)
out = tf.sigmoid(logits)
return out, logits
"""
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"""
tests.test_discriminator(discriminator, tf)
Tests Passed
Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.
def generator(z,
out_channel_dim,
is_train=True,
alpha=0.2,
keep_prob=0.5):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:param alpha:
:param keep_prob: if set will perform drop out on a few layers
:return: The tensor output of the generator
"""
def leaky_relu(x):
return tf.maximum(alpha * x, x)
def drop_out(x):
# drop out only if keep_prob is set
return tf.nn.dropout(x, keep_prob=keep_prob) if keep_prob else x
with tf.variable_scope('generator', reuse=not is_train):
# First fully connected layer
# to 2x2x512
x1 = tf.layers.dense(z, 2 * 2 * 512)
x1 = tf.reshape(x1, (-1, 2, 2, 512))
x1 = drop_out(leaky_relu(tf.layers.batch_normalization(x1, training=is_train)))
# to 7x7x256
x2 = tf.layers.conv2d_transpose(x1, filters=256, kernel_size=5, strides=2, padding='valid')
x2 = drop_out(leaky_relu(tf.layers.batch_normalization(x2, training=is_train)))
# to 14x14x128
x3 = tf.layers.conv2d_transpose(x2, filters=128, kernel_size=5, strides=2, padding='same')
x3 = drop_out(leaky_relu(tf.layers.batch_normalization(x3, training=is_train)))
# to 28x28 x out_channel_dim
logits = tf.layers.conv2d_transpose(x3, filters=out_channel_dim, kernel_size=5, strides=2, padding='same')
out = tf.tanh(logits)
return out
"""
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"""
tests.test_generator(generator, tf)
Tests Passed
Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)generator(z, out_channel_dim, is_train=True)def model_loss(input_real, input_z, out_channel_dim, alpha=0.2):
"""
Get the loss for the discriminator and generator
:param alpha:
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
g_model = generator(input_z, out_channel_dim, alpha=alpha)
d_model_real, d_logits_real = discriminator(input_real, alpha=alpha)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True, alpha=alpha)
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed
Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# Get weights and bias to update
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
g_vars = [var for var in t_vars if var.name.startswith('generator')]
# Optimize
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
return d_train_opt, g_train_opt
"""
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"""
tests.test_model_opt(model_opt, tf)
Tests Passed
"""
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"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)model_loss(input_real, input_z, out_channel_dim)model_opt(d_loss, g_loss, learning_rate, beta1)Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.
def train(epoch_count,
batch_size,
z_dim,
learning_rate,
beta1, get_batches,
data_shape,
data_image_mode,
print_every=10,
show_every=100,
show_images=25):
"""
Train the GAN
:param show_images:
:param show_every:
:param print_every:
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
image_width, image_height, image_channels = data_shape[1:]
input_real, input_z, input_lr = model_inputs(image_width=image_width,
image_height=image_height,
image_channels=image_channels,
z_dim=z_dim)
d_loss, g_loss = model_loss(input_real=input_real,
input_z=input_z,
out_channel_dim=image_channels)
d_opt, g_opt = model_opt(d_loss=d_loss,
g_loss=g_loss,
learning_rate=learning_rate,
beta1=beta1)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for steps, batch_images in enumerate(get_batches(batch_size), start=1):
# Sample random noise for G
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
# Scale to (-1, 1) from (-0.5, 0.5)
batch_images = batch_images * 2.0
# Run optimizers
_ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: batch_z})
_ = sess.run(g_opt, feed_dict={input_z: batch_z, input_real: batch_images})
if steps % print_every == 0:
# At the end of each epoch, get the losses and print them out
train_loss_d = d_loss.eval({input_z: batch_z,
input_real: batch_images,
input_lr:learning_rate})
train_loss_g = g_loss.eval({input_z: batch_z,
input_lr: learning_rate})
print("Epoch {}/{}...".format(epoch_i + 1, epoch_count),
"Batch: {}...".format(steps),
"Discriminator Loss: {:.4f}...".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
if steps % show_every == 0:
show_generator_output(sess,
n_images=show_images,
input_z=input_z,
out_channel_dim=image_channels,
image_mode=data_image_mode)
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 32
z_dim = 100
learning_rate = 0.002
beta1 = 0.5
"""
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"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/2... Batch: 10... Discriminator Loss: 1.5686... Generator Loss: 3.9427 Epoch 1/2... Batch: 20... Discriminator Loss: 0.5613... Generator Loss: 1.1231 Epoch 1/2... Batch: 30... Discriminator Loss: 1.1073... Generator Loss: 1.2429 Epoch 1/2... Batch: 40... Discriminator Loss: 0.0030... Generator Loss: 12.5638 Epoch 1/2... Batch: 50... Discriminator Loss: 0.4128... Generator Loss: 3.5659 Epoch 1/2... Batch: 60... Discriminator Loss: 0.3421... Generator Loss: 3.2980 Epoch 1/2... Batch: 70... Discriminator Loss: 3.7004... Generator Loss: 0.4750 Epoch 1/2... Batch: 80... Discriminator Loss: 0.2591... Generator Loss: 2.1935 Epoch 1/2... Batch: 90... Discriminator Loss: 0.8462... Generator Loss: 4.8435 Epoch 1/2... Batch: 100... Discriminator Loss: 3.5097... Generator Loss: 0.4305
Epoch 1/2... Batch: 110... Discriminator Loss: 0.7309... Generator Loss: 4.3317 Epoch 1/2... Batch: 120... Discriminator Loss: 0.7209... Generator Loss: 4.8077 Epoch 1/2... Batch: 130... Discriminator Loss: 0.2882... Generator Loss: 4.2812 Epoch 1/2... Batch: 140... Discriminator Loss: 1.0700... Generator Loss: 1.5384 Epoch 1/2... Batch: 150... Discriminator Loss: 0.4825... Generator Loss: 2.9277 Epoch 1/2... Batch: 160... Discriminator Loss: 0.5589... Generator Loss: 1.6926 Epoch 1/2... Batch: 170... Discriminator Loss: 0.2348... Generator Loss: 2.8008 Epoch 1/2... Batch: 180... Discriminator Loss: 0.1514... Generator Loss: 10.0028 Epoch 1/2... Batch: 190... Discriminator Loss: 1.0223... Generator Loss: 2.9017 Epoch 1/2... Batch: 200... Discriminator Loss: 0.2266... Generator Loss: 3.8449
Epoch 1/2... Batch: 210... Discriminator Loss: 0.5036... Generator Loss: 2.9825 Epoch 1/2... Batch: 220... Discriminator Loss: 0.1779... Generator Loss: 4.7665 Epoch 1/2... Batch: 230... Discriminator Loss: 0.4556... Generator Loss: 4.1712 Epoch 1/2... Batch: 240... Discriminator Loss: 0.4205... Generator Loss: 3.0610 Epoch 1/2... Batch: 250... Discriminator Loss: 0.5230... Generator Loss: 3.6248 Epoch 1/2... Batch: 260... Discriminator Loss: 0.9817... Generator Loss: 4.7945 Epoch 1/2... Batch: 270... Discriminator Loss: 0.7313... Generator Loss: 1.3564 Epoch 1/2... Batch: 280... Discriminator Loss: 1.0595... Generator Loss: 0.9504 Epoch 1/2... Batch: 290... Discriminator Loss: 0.8164... Generator Loss: 2.6687 Epoch 1/2... Batch: 300... Discriminator Loss: 1.1559... Generator Loss: 1.2207
Epoch 1/2... Batch: 310... Discriminator Loss: 1.3630... Generator Loss: 1.5863 Epoch 1/2... Batch: 320... Discriminator Loss: 1.0980... Generator Loss: 1.2481 Epoch 1/2... Batch: 330... Discriminator Loss: 1.4570... Generator Loss: 1.8253 Epoch 1/2... Batch: 340... Discriminator Loss: 0.6388... Generator Loss: 1.4903 Epoch 1/2... Batch: 350... Discriminator Loss: 0.4801... Generator Loss: 3.1235 Epoch 1/2... Batch: 360... Discriminator Loss: 0.5234... Generator Loss: 4.1280 Epoch 1/2... Batch: 370... Discriminator Loss: 0.8270... Generator Loss: 3.0112 Epoch 1/2... Batch: 380... Discriminator Loss: 0.6226... Generator Loss: 1.7706 Epoch 1/2... Batch: 390... Discriminator Loss: 0.9446... Generator Loss: 1.2538 Epoch 1/2... Batch: 400... Discriminator Loss: 0.3497... Generator Loss: 3.5909
Epoch 1/2... Batch: 410... Discriminator Loss: 1.1308... Generator Loss: 5.6508 Epoch 1/2... Batch: 420... Discriminator Loss: 1.0229... Generator Loss: 1.2357 Epoch 1/2... Batch: 430... Discriminator Loss: 0.4875... Generator Loss: 2.1298 Epoch 1/2... Batch: 440... Discriminator Loss: 0.7012... Generator Loss: 1.8685 Epoch 1/2... Batch: 450... Discriminator Loss: 0.7391... Generator Loss: 4.1623 Epoch 1/2... Batch: 460... Discriminator Loss: 0.8301... Generator Loss: 1.4701 Epoch 1/2... Batch: 470... Discriminator Loss: 3.0399... Generator Loss: 0.3260 Epoch 1/2... Batch: 480... Discriminator Loss: 0.6004... Generator Loss: 2.0481 Epoch 1/2... Batch: 490... Discriminator Loss: 0.8029... Generator Loss: 1.1399 Epoch 1/2... Batch: 500... Discriminator Loss: 1.2927... Generator Loss: 2.7467
Epoch 1/2... Batch: 510... Discriminator Loss: 0.8371... Generator Loss: 3.0027 Epoch 1/2... Batch: 520... Discriminator Loss: 1.2603... Generator Loss: 1.3541 Epoch 1/2... Batch: 530... Discriminator Loss: 1.0682... Generator Loss: 1.4278 Epoch 1/2... Batch: 540... Discriminator Loss: 1.5707... Generator Loss: 1.0245 Epoch 1/2... Batch: 550... Discriminator Loss: 1.3922... Generator Loss: 0.8106 Epoch 1/2... Batch: 560... Discriminator Loss: 1.6498... Generator Loss: 0.4125 Epoch 1/2... Batch: 570... Discriminator Loss: 0.8692... Generator Loss: 2.4542 Epoch 1/2... Batch: 580... Discriminator Loss: 1.4629... Generator Loss: 2.8090 Epoch 1/2... Batch: 590... Discriminator Loss: 0.7472... Generator Loss: 2.7586 Epoch 1/2... Batch: 600... Discriminator Loss: 0.9428... Generator Loss: 1.8886
Epoch 1/2... Batch: 610... Discriminator Loss: 1.4466... Generator Loss: 0.8832 Epoch 1/2... Batch: 620... Discriminator Loss: 0.8070... Generator Loss: 1.6084 Epoch 1/2... Batch: 630... Discriminator Loss: 0.9804... Generator Loss: 2.3018 Epoch 1/2... Batch: 640... Discriminator Loss: 1.5085... Generator Loss: 1.0850 Epoch 1/2... Batch: 650... Discriminator Loss: 0.6595... Generator Loss: 1.2601 Epoch 1/2... Batch: 660... Discriminator Loss: 0.8180... Generator Loss: 1.5602 Epoch 1/2... Batch: 670... Discriminator Loss: 0.8491... Generator Loss: 1.4696 Epoch 1/2... Batch: 680... Discriminator Loss: 0.9064... Generator Loss: 2.4520 Epoch 1/2... Batch: 690... Discriminator Loss: 1.9734... Generator Loss: 0.3415 Epoch 1/2... Batch: 700... Discriminator Loss: 0.8189... Generator Loss: 1.8229
Epoch 1/2... Batch: 710... Discriminator Loss: 1.3991... Generator Loss: 0.9330 Epoch 1/2... Batch: 720... Discriminator Loss: 1.1483... Generator Loss: 2.2496 Epoch 1/2... Batch: 730... Discriminator Loss: 0.9047... Generator Loss: 2.1137 Epoch 1/2... Batch: 740... Discriminator Loss: 1.7084... Generator Loss: 0.5845 Epoch 1/2... Batch: 750... Discriminator Loss: 0.6410... Generator Loss: 1.3672 Epoch 1/2... Batch: 760... Discriminator Loss: 1.2106... Generator Loss: 1.2463 Epoch 1/2... Batch: 770... Discriminator Loss: 1.3740... Generator Loss: 1.0298 Epoch 1/2... Batch: 780... Discriminator Loss: 0.9438... Generator Loss: 2.2788 Epoch 1/2... Batch: 790... Discriminator Loss: 0.8652... Generator Loss: 2.1200 Epoch 1/2... Batch: 800... Discriminator Loss: 1.3004... Generator Loss: 1.6083
Epoch 1/2... Batch: 810... Discriminator Loss: 1.4912... Generator Loss: 0.6076 Epoch 1/2... Batch: 820... Discriminator Loss: 1.2168... Generator Loss: 1.7589 Epoch 1/2... Batch: 830... Discriminator Loss: 1.3217... Generator Loss: 0.4984 Epoch 1/2... Batch: 840... Discriminator Loss: 1.0953... Generator Loss: 1.4613 Epoch 1/2... Batch: 850... Discriminator Loss: 0.7222... Generator Loss: 0.9032 Epoch 1/2... Batch: 860... Discriminator Loss: 1.2444... Generator Loss: 0.7989 Epoch 1/2... Batch: 870... Discriminator Loss: 1.1321... Generator Loss: 0.8336 Epoch 1/2... Batch: 880... Discriminator Loss: 0.7242... Generator Loss: 1.5626 Epoch 1/2... Batch: 890... Discriminator Loss: 1.4724... Generator Loss: 0.6403 Epoch 1/2... Batch: 900... Discriminator Loss: 1.5008... Generator Loss: 1.3100
Epoch 1/2... Batch: 910... Discriminator Loss: 0.9843... Generator Loss: 1.8299 Epoch 1/2... Batch: 920... Discriminator Loss: 0.6585... Generator Loss: 1.2499 Epoch 1/2... Batch: 930... Discriminator Loss: 0.5752... Generator Loss: 1.6265 Epoch 1/2... Batch: 940... Discriminator Loss: 1.1730... Generator Loss: 2.7518 Epoch 1/2... Batch: 950... Discriminator Loss: 0.7527... Generator Loss: 1.7046 Epoch 1/2... Batch: 960... Discriminator Loss: 1.0024... Generator Loss: 2.1475 Epoch 1/2... Batch: 970... Discriminator Loss: 0.7111... Generator Loss: 1.6558 Epoch 1/2... Batch: 980... Discriminator Loss: 0.7747... Generator Loss: 1.1940 Epoch 1/2... Batch: 990... Discriminator Loss: 1.1857... Generator Loss: 2.3919 Epoch 1/2... Batch: 1000... Discriminator Loss: 1.1969... Generator Loss: 1.0407
Epoch 1/2... Batch: 1010... Discriminator Loss: 0.8762... Generator Loss: 1.2471 Epoch 1/2... Batch: 1020... Discriminator Loss: 0.6400... Generator Loss: 1.4993 Epoch 1/2... Batch: 1030... Discriminator Loss: 0.6918... Generator Loss: 1.1939 Epoch 1/2... Batch: 1040... Discriminator Loss: 0.9124... Generator Loss: 1.6506 Epoch 1/2... Batch: 1050... Discriminator Loss: 0.9677... Generator Loss: 1.7512 Epoch 1/2... Batch: 1060... Discriminator Loss: 0.8233... Generator Loss: 2.0117 Epoch 1/2... Batch: 1070... Discriminator Loss: 1.0444... Generator Loss: 0.9397 Epoch 1/2... Batch: 1080... Discriminator Loss: 0.8651... Generator Loss: 1.3516 Epoch 1/2... Batch: 1090... Discriminator Loss: 0.7815... Generator Loss: 1.0545 Epoch 1/2... Batch: 1100... Discriminator Loss: 0.8253... Generator Loss: 1.1573
Epoch 1/2... Batch: 1110... Discriminator Loss: 1.0600... Generator Loss: 2.5776 Epoch 1/2... Batch: 1120... Discriminator Loss: 1.3866... Generator Loss: 2.3462 Epoch 1/2... Batch: 1130... Discriminator Loss: 0.8998... Generator Loss: 1.1033 Epoch 1/2... Batch: 1140... Discriminator Loss: 1.1176... Generator Loss: 1.1064 Epoch 1/2... Batch: 1150... Discriminator Loss: 0.8852... Generator Loss: 1.7251 Epoch 1/2... Batch: 1160... Discriminator Loss: 1.1070... Generator Loss: 1.2450 Epoch 1/2... Batch: 1170... Discriminator Loss: 0.7743... Generator Loss: 1.3010 Epoch 1/2... Batch: 1180... Discriminator Loss: 1.2055... Generator Loss: 2.5454 Epoch 1/2... Batch: 1190... Discriminator Loss: 1.4329... Generator Loss: 0.6592 Epoch 1/2... Batch: 1200... Discriminator Loss: 1.0391... Generator Loss: 1.8333
Epoch 1/2... Batch: 1210... Discriminator Loss: 1.3665... Generator Loss: 3.5555 Epoch 1/2... Batch: 1220... Discriminator Loss: 1.2999... Generator Loss: 0.7724 Epoch 1/2... Batch: 1230... Discriminator Loss: 1.0274... Generator Loss: 1.2433 Epoch 1/2... Batch: 1240... Discriminator Loss: 0.9301... Generator Loss: 1.2450 Epoch 1/2... Batch: 1250... Discriminator Loss: 0.8610... Generator Loss: 1.3345 Epoch 1/2... Batch: 1260... Discriminator Loss: 1.4683... Generator Loss: 1.0958 Epoch 1/2... Batch: 1270... Discriminator Loss: 0.7725... Generator Loss: 2.2460 Epoch 1/2... Batch: 1280... Discriminator Loss: 0.9769... Generator Loss: 0.9483 Epoch 1/2... Batch: 1290... Discriminator Loss: 0.9134... Generator Loss: 0.7051 Epoch 1/2... Batch: 1300... Discriminator Loss: 1.2842... Generator Loss: 3.5590
Epoch 1/2... Batch: 1310... Discriminator Loss: 0.9833... Generator Loss: 1.7816 Epoch 1/2... Batch: 1320... Discriminator Loss: 0.5883... Generator Loss: 1.3673 Epoch 1/2... Batch: 1330... Discriminator Loss: 0.9438... Generator Loss: 1.3060 Epoch 1/2... Batch: 1340... Discriminator Loss: 0.6943... Generator Loss: 1.0100 Epoch 1/2... Batch: 1350... Discriminator Loss: 1.0798... Generator Loss: 1.6869 Epoch 1/2... Batch: 1360... Discriminator Loss: 1.0664... Generator Loss: 1.3191 Epoch 1/2... Batch: 1370... Discriminator Loss: 1.0186... Generator Loss: 1.9757 Epoch 1/2... Batch: 1380... Discriminator Loss: 0.7523... Generator Loss: 2.5039 Epoch 1/2... Batch: 1390... Discriminator Loss: 1.2386... Generator Loss: 1.3113 Epoch 1/2... Batch: 1400... Discriminator Loss: 0.9705... Generator Loss: 2.0411
Epoch 1/2... Batch: 1410... Discriminator Loss: 1.1958... Generator Loss: 2.7735 Epoch 1/2... Batch: 1420... Discriminator Loss: 0.7729... Generator Loss: 1.7858 Epoch 1/2... Batch: 1430... Discriminator Loss: 0.6595... Generator Loss: 3.0610 Epoch 1/2... Batch: 1440... Discriminator Loss: 0.8778... Generator Loss: 2.6641 Epoch 1/2... Batch: 1450... Discriminator Loss: 0.4549... Generator Loss: 2.0176 Epoch 1/2... Batch: 1460... Discriminator Loss: 1.2561... Generator Loss: 0.7317 Epoch 1/2... Batch: 1470... Discriminator Loss: 0.5772... Generator Loss: 2.4660 Epoch 1/2... Batch: 1480... Discriminator Loss: 0.9163... Generator Loss: 1.6341 Epoch 1/2... Batch: 1490... Discriminator Loss: 0.8935... Generator Loss: 3.2784 Epoch 1/2... Batch: 1500... Discriminator Loss: 0.6631... Generator Loss: 2.4968
Epoch 1/2... Batch: 1510... Discriminator Loss: 0.4479... Generator Loss: 1.8787 Epoch 1/2... Batch: 1520... Discriminator Loss: 0.5740... Generator Loss: 1.5656 Epoch 1/2... Batch: 1530... Discriminator Loss: 0.9136... Generator Loss: 1.3706 Epoch 1/2... Batch: 1540... Discriminator Loss: 0.4585... Generator Loss: 1.8942 Epoch 1/2... Batch: 1550... Discriminator Loss: 0.7292... Generator Loss: 2.1200 Epoch 1/2... Batch: 1560... Discriminator Loss: 0.7638... Generator Loss: 3.2022 Epoch 1/2... Batch: 1570... Discriminator Loss: 0.4021... Generator Loss: 2.7056 Epoch 1/2... Batch: 1580... Discriminator Loss: 0.7044... Generator Loss: 2.9430 Epoch 1/2... Batch: 1590... Discriminator Loss: 0.6918... Generator Loss: 2.0676 Epoch 1/2... Batch: 1600... Discriminator Loss: 0.7804... Generator Loss: 2.2283
Epoch 1/2... Batch: 1610... Discriminator Loss: 0.4502... Generator Loss: 1.6128 Epoch 1/2... Batch: 1620... Discriminator Loss: 0.4814... Generator Loss: 2.6539 Epoch 1/2... Batch: 1630... Discriminator Loss: 0.4651... Generator Loss: 2.6508 Epoch 1/2... Batch: 1640... Discriminator Loss: 0.7477... Generator Loss: 2.4049 Epoch 1/2... Batch: 1650... Discriminator Loss: 0.7137... Generator Loss: 3.4382 Epoch 1/2... Batch: 1660... Discriminator Loss: 0.5619... Generator Loss: 2.0680 Epoch 1/2... Batch: 1670... Discriminator Loss: 2.3922... Generator Loss: 0.6300 Epoch 1/2... Batch: 1680... Discriminator Loss: 0.6965... Generator Loss: 2.0420 Epoch 1/2... Batch: 1690... Discriminator Loss: 0.5492... Generator Loss: 3.2794 Epoch 1/2... Batch: 1700... Discriminator Loss: 0.6026... Generator Loss: 1.5492
Epoch 1/2... Batch: 1710... Discriminator Loss: 0.7871... Generator Loss: 1.0393 Epoch 1/2... Batch: 1720... Discriminator Loss: 0.4539... Generator Loss: 2.3160 Epoch 1/2... Batch: 1730... Discriminator Loss: 0.4032... Generator Loss: 1.8683 Epoch 1/2... Batch: 1740... Discriminator Loss: 0.6988... Generator Loss: 1.3979 Epoch 1/2... Batch: 1750... Discriminator Loss: 1.0941... Generator Loss: 1.1184 Epoch 1/2... Batch: 1760... Discriminator Loss: 0.6109... Generator Loss: 2.4745 Epoch 1/2... Batch: 1770... Discriminator Loss: 1.5381... Generator Loss: 3.0206 Epoch 1/2... Batch: 1780... Discriminator Loss: 0.4813... Generator Loss: 2.1045 Epoch 1/2... Batch: 1790... Discriminator Loss: 0.9544... Generator Loss: 0.8043 Epoch 1/2... Batch: 1800... Discriminator Loss: 0.7611... Generator Loss: 2.2252
Epoch 1/2... Batch: 1810... Discriminator Loss: 0.4818... Generator Loss: 3.4096 Epoch 1/2... Batch: 1820... Discriminator Loss: 0.7098... Generator Loss: 3.7481 Epoch 1/2... Batch: 1830... Discriminator Loss: 0.7459... Generator Loss: 2.1476 Epoch 1/2... Batch: 1840... Discriminator Loss: 1.7252... Generator Loss: 4.0454 Epoch 1/2... Batch: 1850... Discriminator Loss: 0.8770... Generator Loss: 3.0659 Epoch 1/2... Batch: 1860... Discriminator Loss: 0.6354... Generator Loss: 2.3421 Epoch 1/2... Batch: 1870... Discriminator Loss: 0.9524... Generator Loss: 1.8040 Epoch 2/2... Batch: 10... Discriminator Loss: 0.6748... Generator Loss: 2.1296 Epoch 2/2... Batch: 20... Discriminator Loss: 0.5379... Generator Loss: 2.1228 Epoch 2/2... Batch: 30... Discriminator Loss: 0.6219... Generator Loss: 2.9043 Epoch 2/2... Batch: 40... Discriminator Loss: 1.4453... Generator Loss: 0.9018 Epoch 2/2... Batch: 50... Discriminator Loss: 0.5067... Generator Loss: 1.3400 Epoch 2/2... Batch: 60... Discriminator Loss: 0.5750... Generator Loss: 1.2413 Epoch 2/2... Batch: 70... Discriminator Loss: 0.4251... Generator Loss: 3.2145 Epoch 2/2... Batch: 80... Discriminator Loss: 0.4383... Generator Loss: 1.8683 Epoch 2/2... Batch: 90... Discriminator Loss: 0.4077... Generator Loss: 3.3724 Epoch 2/2... Batch: 100... Discriminator Loss: 1.0694... Generator Loss: 2.0513
Epoch 2/2... Batch: 110... Discriminator Loss: 0.7513... Generator Loss: 1.3512 Epoch 2/2... Batch: 120... Discriminator Loss: 0.3163... Generator Loss: 2.0554 Epoch 2/2... Batch: 130... Discriminator Loss: 2.1283... Generator Loss: 0.8754 Epoch 2/2... Batch: 140... Discriminator Loss: 1.1590... Generator Loss: 0.7864 Epoch 2/2... Batch: 150... Discriminator Loss: 0.4208... Generator Loss: 3.0676 Epoch 2/2... Batch: 160... Discriminator Loss: 0.4550... Generator Loss: 3.3957 Epoch 2/2... Batch: 170... Discriminator Loss: 0.4727... Generator Loss: 1.9770 Epoch 2/2... Batch: 180... Discriminator Loss: 0.5088... Generator Loss: 3.1008 Epoch 2/2... Batch: 190... Discriminator Loss: 0.4005... Generator Loss: 1.7679 Epoch 2/2... Batch: 200... Discriminator Loss: 0.8779... Generator Loss: 1.3930
Epoch 2/2... Batch: 210... Discriminator Loss: 1.0377... Generator Loss: 1.5604 Epoch 2/2... Batch: 220... Discriminator Loss: 0.5704... Generator Loss: 2.3219 Epoch 2/2... Batch: 230... Discriminator Loss: 0.3754... Generator Loss: 2.0529 Epoch 2/2... Batch: 240... Discriminator Loss: 0.6452... Generator Loss: 1.8536 Epoch 2/2... Batch: 250... Discriminator Loss: 0.8608... Generator Loss: 2.2646 Epoch 2/2... Batch: 260... Discriminator Loss: 0.2698... Generator Loss: 2.6584 Epoch 2/2... Batch: 270... Discriminator Loss: 0.6768... Generator Loss: 1.7325 Epoch 2/2... Batch: 280... Discriminator Loss: 0.4989... Generator Loss: 2.0409 Epoch 2/2... Batch: 290... Discriminator Loss: 0.4081... Generator Loss: 2.9929 Epoch 2/2... Batch: 300... Discriminator Loss: 0.8034... Generator Loss: 2.0891
Epoch 2/2... Batch: 310... Discriminator Loss: 0.9874... Generator Loss: 2.2568 Epoch 2/2... Batch: 320... Discriminator Loss: 0.6599... Generator Loss: 1.7851 Epoch 2/2... Batch: 330... Discriminator Loss: 0.6018... Generator Loss: 2.5451 Epoch 2/2... Batch: 340... Discriminator Loss: 0.8711... Generator Loss: 3.5251 Epoch 2/2... Batch: 350... Discriminator Loss: 0.4002... Generator Loss: 3.3567 Epoch 2/2... Batch: 360... Discriminator Loss: 0.9605... Generator Loss: 3.4433 Epoch 2/2... Batch: 370... Discriminator Loss: 0.9992... Generator Loss: 1.9442 Epoch 2/2... Batch: 380... Discriminator Loss: 0.4003... Generator Loss: 2.7355 Epoch 2/2... Batch: 390... Discriminator Loss: 0.2774... Generator Loss: 1.8460 Epoch 2/2... Batch: 400... Discriminator Loss: 0.9310... Generator Loss: 1.0457
Epoch 2/2... Batch: 410... Discriminator Loss: 0.8029... Generator Loss: 2.9703 Epoch 2/2... Batch: 420... Discriminator Loss: 0.7925... Generator Loss: 0.8361 Epoch 2/2... Batch: 430... Discriminator Loss: 0.7038... Generator Loss: 0.9672 Epoch 2/2... Batch: 440... Discriminator Loss: 0.2323... Generator Loss: 2.9955 Epoch 2/2... Batch: 450... Discriminator Loss: 0.5250... Generator Loss: 2.0180 Epoch 2/2... Batch: 460... Discriminator Loss: 0.6043... Generator Loss: 3.3158 Epoch 2/2... Batch: 470... Discriminator Loss: 0.9128... Generator Loss: 1.3187 Epoch 2/2... Batch: 480... Discriminator Loss: 0.8802... Generator Loss: 1.3396 Epoch 2/2... Batch: 490... Discriminator Loss: 0.8102... Generator Loss: 4.6844 Epoch 2/2... Batch: 500... Discriminator Loss: 0.7683... Generator Loss: 2.9769
Epoch 2/2... Batch: 510... Discriminator Loss: 0.5407... Generator Loss: 2.3818 Epoch 2/2... Batch: 520... Discriminator Loss: 0.4927... Generator Loss: 5.3093 Epoch 2/2... Batch: 530... Discriminator Loss: 0.3285... Generator Loss: 4.0822 Epoch 2/2... Batch: 540... Discriminator Loss: 0.7522... Generator Loss: 1.7315 Epoch 2/2... Batch: 550... Discriminator Loss: 0.3499... Generator Loss: 2.6138 Epoch 2/2... Batch: 560... Discriminator Loss: 0.4739... Generator Loss: 4.9032 Epoch 2/2... Batch: 570... Discriminator Loss: 0.5728... Generator Loss: 1.9603 Epoch 2/2... Batch: 580... Discriminator Loss: 0.3016... Generator Loss: 3.0638 Epoch 2/2... Batch: 590... Discriminator Loss: 0.5165... Generator Loss: 2.4136 Epoch 2/2... Batch: 600... Discriminator Loss: 0.6133... Generator Loss: 4.0140
Epoch 2/2... Batch: 610... Discriminator Loss: 0.3567... Generator Loss: 2.7750 Epoch 2/2... Batch: 620... Discriminator Loss: 0.1675... Generator Loss: 2.4487 Epoch 2/2... Batch: 630... Discriminator Loss: 0.5343... Generator Loss: 4.4421 Epoch 2/2... Batch: 640... Discriminator Loss: 0.3306... Generator Loss: 2.1947 Epoch 2/2... Batch: 650... Discriminator Loss: 0.4893... Generator Loss: 3.0000 Epoch 2/2... Batch: 660... Discriminator Loss: 0.7141... Generator Loss: 1.3648 Epoch 2/2... Batch: 670... Discriminator Loss: 0.6217... Generator Loss: 4.0557 Epoch 2/2... Batch: 680... Discriminator Loss: 0.3606... Generator Loss: 2.4507 Epoch 2/2... Batch: 690... Discriminator Loss: 0.3904... Generator Loss: 2.4606 Epoch 2/2... Batch: 700... Discriminator Loss: 0.5083... Generator Loss: 1.1316
Epoch 2/2... Batch: 710... Discriminator Loss: 0.2908... Generator Loss: 3.1904 Epoch 2/2... Batch: 720... Discriminator Loss: 0.4209... Generator Loss: 2.5469 Epoch 2/2... Batch: 730... Discriminator Loss: 0.1536... Generator Loss: 2.3540 Epoch 2/2... Batch: 740... Discriminator Loss: 0.5297... Generator Loss: 3.1132 Epoch 2/2... Batch: 750... Discriminator Loss: 0.3457... Generator Loss: 3.3287 Epoch 2/2... Batch: 760... Discriminator Loss: 0.8805... Generator Loss: 1.3806 Epoch 2/2... Batch: 770... Discriminator Loss: 0.9255... Generator Loss: 0.9635 Epoch 2/2... Batch: 780... Discriminator Loss: 0.7913... Generator Loss: 4.3160 Epoch 2/2... Batch: 790... Discriminator Loss: 0.4075... Generator Loss: 1.8337 Epoch 2/2... Batch: 800... Discriminator Loss: 0.3371... Generator Loss: 4.2118
Epoch 2/2... Batch: 810... Discriminator Loss: 0.1793... Generator Loss: 1.2641 Epoch 2/2... Batch: 820... Discriminator Loss: 0.2609... Generator Loss: 4.1954 Epoch 2/2... Batch: 830... Discriminator Loss: 0.4907... Generator Loss: 3.8595 Epoch 2/2... Batch: 840... Discriminator Loss: 0.2471... Generator Loss: 3.7838 Epoch 2/2... Batch: 850... Discriminator Loss: 0.2317... Generator Loss: 3.8126 Epoch 2/2... Batch: 860... Discriminator Loss: 0.3229... Generator Loss: 3.7796 Epoch 2/2... Batch: 870... Discriminator Loss: 0.3321... Generator Loss: 4.9184 Epoch 2/2... Batch: 880... Discriminator Loss: 0.2907... Generator Loss: 4.1403 Epoch 2/2... Batch: 890... Discriminator Loss: 0.5185... Generator Loss: 2.9162 Epoch 2/2... Batch: 900... Discriminator Loss: 1.4225... Generator Loss: 5.2052
Epoch 2/2... Batch: 910... Discriminator Loss: 0.4289... Generator Loss: 3.6785 Epoch 2/2... Batch: 920... Discriminator Loss: 0.4758... Generator Loss: 2.3555 Epoch 2/2... Batch: 930... Discriminator Loss: 0.2670... Generator Loss: 2.7010 Epoch 2/2... Batch: 940... Discriminator Loss: 0.3504... Generator Loss: 4.0653 Epoch 2/2... Batch: 950... Discriminator Loss: 0.8282... Generator Loss: 1.1561 Epoch 2/2... Batch: 960... Discriminator Loss: 0.6556... Generator Loss: 1.6602 Epoch 2/2... Batch: 970... Discriminator Loss: 0.6155... Generator Loss: 2.8933 Epoch 2/2... Batch: 980... Discriminator Loss: 1.3225... Generator Loss: 0.7225 Epoch 2/2... Batch: 990... Discriminator Loss: 0.3900... Generator Loss: 3.4558 Epoch 2/2... Batch: 1000... Discriminator Loss: 0.3002... Generator Loss: 3.6808
Epoch 2/2... Batch: 1010... Discriminator Loss: 0.3467... Generator Loss: 3.0348 Epoch 2/2... Batch: 1020... Discriminator Loss: 0.5201... Generator Loss: 5.0722 Epoch 2/2... Batch: 1030... Discriminator Loss: 0.5993... Generator Loss: 5.3657 Epoch 2/2... Batch: 1040... Discriminator Loss: 0.1330... Generator Loss: 3.7753 Epoch 2/2... Batch: 1050... Discriminator Loss: 0.3766... Generator Loss: 5.8226 Epoch 2/2... Batch: 1060... Discriminator Loss: 0.2583... Generator Loss: 3.4406 Epoch 2/2... Batch: 1070... Discriminator Loss: 0.7014... Generator Loss: 2.4381 Epoch 2/2... Batch: 1080... Discriminator Loss: 0.5209... Generator Loss: 2.6067 Epoch 2/2... Batch: 1090... Discriminator Loss: 0.3362... Generator Loss: 3.7128 Epoch 2/2... Batch: 1100... Discriminator Loss: 0.9565... Generator Loss: 1.3657
Epoch 2/2... Batch: 1110... Discriminator Loss: 0.3229... Generator Loss: 1.8621 Epoch 2/2... Batch: 1120... Discriminator Loss: 0.4731... Generator Loss: 3.6081 Epoch 2/2... Batch: 1130... Discriminator Loss: 0.9550... Generator Loss: 1.8832 Epoch 2/2... Batch: 1140... Discriminator Loss: 0.1924... Generator Loss: 3.1046 Epoch 2/2... Batch: 1150... Discriminator Loss: 0.6820... Generator Loss: 4.5461 Epoch 2/2... Batch: 1160... Discriminator Loss: 0.2761... Generator Loss: 2.7174 Epoch 2/2... Batch: 1170... Discriminator Loss: 0.7410... Generator Loss: 3.4043 Epoch 2/2... Batch: 1180... Discriminator Loss: 0.3021... Generator Loss: 2.5948 Epoch 2/2... Batch: 1190... Discriminator Loss: 0.4478... Generator Loss: 4.8404 Epoch 2/2... Batch: 1200... Discriminator Loss: 0.1983... Generator Loss: 4.1571
Epoch 2/2... Batch: 1210... Discriminator Loss: 0.4316... Generator Loss: 2.2902 Epoch 2/2... Batch: 1220... Discriminator Loss: 0.2711... Generator Loss: 2.3539 Epoch 2/2... Batch: 1230... Discriminator Loss: 0.6826... Generator Loss: 2.2399 Epoch 2/2... Batch: 1240... Discriminator Loss: 0.1991... Generator Loss: 2.8671 Epoch 2/2... Batch: 1250... Discriminator Loss: 0.1095... Generator Loss: 3.4707 Epoch 2/2... Batch: 1260... Discriminator Loss: 0.2763... Generator Loss: 3.3278 Epoch 2/2... Batch: 1270... Discriminator Loss: 0.2716... Generator Loss: 2.2836 Epoch 2/2... Batch: 1280... Discriminator Loss: 0.3280... Generator Loss: 2.7620 Epoch 2/2... Batch: 1290... Discriminator Loss: 1.4090... Generator Loss: 1.0502 Epoch 2/2... Batch: 1300... Discriminator Loss: 0.1267... Generator Loss: 4.6728
Epoch 2/2... Batch: 1310... Discriminator Loss: 2.8062... Generator Loss: 0.5361 Epoch 2/2... Batch: 1320... Discriminator Loss: 0.9165... Generator Loss: 6.9563 Epoch 2/2... Batch: 1330... Discriminator Loss: 0.3274... Generator Loss: 3.3198 Epoch 2/2... Batch: 1340... Discriminator Loss: 0.9589... Generator Loss: 3.9960 Epoch 2/2... Batch: 1350... Discriminator Loss: 0.1569... Generator Loss: 2.7453 Epoch 2/2... Batch: 1360... Discriminator Loss: 2.7758... Generator Loss: 0.2719 Epoch 2/2... Batch: 1370... Discriminator Loss: 0.8926... Generator Loss: 3.3964 Epoch 2/2... Batch: 1380... Discriminator Loss: 0.6069... Generator Loss: 3.6466 Epoch 2/2... Batch: 1390... Discriminator Loss: 1.2632... Generator Loss: 5.0682 Epoch 2/2... Batch: 1400... Discriminator Loss: 0.8494... Generator Loss: 0.8785
Epoch 2/2... Batch: 1410... Discriminator Loss: 0.8487... Generator Loss: 3.5178 Epoch 2/2... Batch: 1420... Discriminator Loss: 0.5226... Generator Loss: 3.1673 Epoch 2/2... Batch: 1430... Discriminator Loss: 0.2266... Generator Loss: 3.5838 Epoch 2/2... Batch: 1440... Discriminator Loss: 0.4737... Generator Loss: 3.9646 Epoch 2/2... Batch: 1450... Discriminator Loss: 0.3519... Generator Loss: 1.0067 Epoch 2/2... Batch: 1460... Discriminator Loss: 0.4529... Generator Loss: 4.2226 Epoch 2/2... Batch: 1470... Discriminator Loss: 0.3354... Generator Loss: 5.5177 Epoch 2/2... Batch: 1480... Discriminator Loss: 0.1373... Generator Loss: 2.7975 Epoch 2/2... Batch: 1490... Discriminator Loss: 0.5029... Generator Loss: 1.8415 Epoch 2/2... Batch: 1500... Discriminator Loss: 0.3300... Generator Loss: 2.0216
Epoch 2/2... Batch: 1510... Discriminator Loss: 0.2850... Generator Loss: 4.2755 Epoch 2/2... Batch: 1520... Discriminator Loss: 0.3113... Generator Loss: 2.4668 Epoch 2/2... Batch: 1530... Discriminator Loss: 0.2873... Generator Loss: 3.2871 Epoch 2/2... Batch: 1540... Discriminator Loss: 0.1321... Generator Loss: 1.4842 Epoch 2/2... Batch: 1550... Discriminator Loss: 0.2653... Generator Loss: 5.1582 Epoch 2/2... Batch: 1560... Discriminator Loss: 0.2332... Generator Loss: 3.8296 Epoch 2/2... Batch: 1570... Discriminator Loss: 0.8419... Generator Loss: 2.0194 Epoch 2/2... Batch: 1580... Discriminator Loss: 0.6000... Generator Loss: 3.5334 Epoch 2/2... Batch: 1590... Discriminator Loss: 0.7543... Generator Loss: 2.1894 Epoch 2/2... Batch: 1600... Discriminator Loss: 0.3612... Generator Loss: 3.9987
Epoch 2/2... Batch: 1610... Discriminator Loss: 0.6877... Generator Loss: 1.7726 Epoch 2/2... Batch: 1620... Discriminator Loss: 0.3682... Generator Loss: 3.4609 Epoch 2/2... Batch: 1630... Discriminator Loss: 0.3564... Generator Loss: 4.7932 Epoch 2/2... Batch: 1640... Discriminator Loss: 0.4923... Generator Loss: 2.1760 Epoch 2/2... Batch: 1650... Discriminator Loss: 0.2591... Generator Loss: 4.8084 Epoch 2/2... Batch: 1660... Discriminator Loss: 2.0534... Generator Loss: 5.3936 Epoch 2/2... Batch: 1670... Discriminator Loss: 0.2594... Generator Loss: 4.3432 Epoch 2/2... Batch: 1680... Discriminator Loss: 0.1624... Generator Loss: 5.6222 Epoch 2/2... Batch: 1690... Discriminator Loss: 0.6387... Generator Loss: 3.5917 Epoch 2/2... Batch: 1700... Discriminator Loss: 0.4510... Generator Loss: 1.3510
Epoch 2/2... Batch: 1710... Discriminator Loss: 0.3668... Generator Loss: 3.2134 Epoch 2/2... Batch: 1720... Discriminator Loss: 0.8042... Generator Loss: 3.5515 Epoch 2/2... Batch: 1730... Discriminator Loss: 0.2019... Generator Loss: 4.4380 Epoch 2/2... Batch: 1740... Discriminator Loss: 0.3900... Generator Loss: 5.4482 Epoch 2/2... Batch: 1750... Discriminator Loss: 1.8819... Generator Loss: 0.8042 Epoch 2/2... Batch: 1760... Discriminator Loss: 0.3779... Generator Loss: 2.3436 Epoch 2/2... Batch: 1770... Discriminator Loss: 1.1420... Generator Loss: 6.5739 Epoch 2/2... Batch: 1780... Discriminator Loss: 0.4335... Generator Loss: 3.6414 Epoch 2/2... Batch: 1790... Discriminator Loss: 0.5820... Generator Loss: 4.4585 Epoch 2/2... Batch: 1800... Discriminator Loss: 0.5560... Generator Loss: 3.4416
Epoch 2/2... Batch: 1810... Discriminator Loss: 0.9722... Generator Loss: 1.5854 Epoch 2/2... Batch: 1820... Discriminator Loss: 0.2395... Generator Loss: 4.9020 Epoch 2/2... Batch: 1830... Discriminator Loss: 0.3250... Generator Loss: 3.5745 Epoch 2/2... Batch: 1840... Discriminator Loss: 0.2166... Generator Loss: 2.9926 Epoch 2/2... Batch: 1850... Discriminator Loss: 0.2152... Generator Loss: 2.9044 Epoch 2/2... Batch: 1860... Discriminator Loss: 0.4214... Generator Loss: 3.6606 Epoch 2/2... Batch: 1870... Discriminator Loss: 0.4738... Generator Loss: 2.5806
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 16
z_dim = 100
learning_rate = .0002
beta1 = 0.25
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/1... Batch: 10... Discriminator Loss: 0.8628... Generator Loss: 1.3877 Epoch 1/1... Batch: 20... Discriminator Loss: 1.0498... Generator Loss: 1.7087 Epoch 1/1... Batch: 30... Discriminator Loss: 0.5037... Generator Loss: 2.0441 Epoch 1/1... Batch: 40... Discriminator Loss: 0.5411... Generator Loss: 2.5756 Epoch 1/1... Batch: 50... Discriminator Loss: 0.5890... Generator Loss: 2.1507 Epoch 1/1... Batch: 60... Discriminator Loss: 1.0116... Generator Loss: 2.3047 Epoch 1/1... Batch: 70... Discriminator Loss: 0.5468... Generator Loss: 2.4253 Epoch 1/1... Batch: 80... Discriminator Loss: 0.6669... Generator Loss: 2.2748 Epoch 1/1... Batch: 90... Discriminator Loss: 0.3552... Generator Loss: 2.8114 Epoch 1/1... Batch: 100... Discriminator Loss: 0.4201... Generator Loss: 2.1953
Epoch 1/1... Batch: 110... Discriminator Loss: 0.7117... Generator Loss: 2.2258 Epoch 1/1... Batch: 120... Discriminator Loss: 0.5774... Generator Loss: 2.3652 Epoch 1/1... Batch: 130... Discriminator Loss: 0.5394... Generator Loss: 2.0630 Epoch 1/1... Batch: 140... Discriminator Loss: 0.2608... Generator Loss: 2.3599 Epoch 1/1... Batch: 150... Discriminator Loss: 0.4019... Generator Loss: 2.2865 Epoch 1/1... Batch: 160... Discriminator Loss: 0.2797... Generator Loss: 3.3508 Epoch 1/1... Batch: 170... Discriminator Loss: 0.3366... Generator Loss: 3.2063 Epoch 1/1... Batch: 180... Discriminator Loss: 0.2616... Generator Loss: 2.5939 Epoch 1/1... Batch: 190... Discriminator Loss: 0.2833... Generator Loss: 2.5478 Epoch 1/1... Batch: 200... Discriminator Loss: 0.3217... Generator Loss: 2.9957
Epoch 1/1... Batch: 210... Discriminator Loss: 0.5702... Generator Loss: 3.8612 Epoch 1/1... Batch: 220... Discriminator Loss: 0.2719... Generator Loss: 4.1219 Epoch 1/1... Batch: 230... Discriminator Loss: 0.2360... Generator Loss: 3.3702 Epoch 1/1... Batch: 240... Discriminator Loss: 0.1239... Generator Loss: 3.7706 Epoch 1/1... Batch: 250... Discriminator Loss: 0.1394... Generator Loss: 2.6149 Epoch 1/1... Batch: 260... Discriminator Loss: 0.5249... Generator Loss: 2.3340 Epoch 1/1... Batch: 270... Discriminator Loss: 0.2444... Generator Loss: 3.6119 Epoch 1/1... Batch: 280... Discriminator Loss: 0.1260... Generator Loss: 2.9200 Epoch 1/1... Batch: 290... Discriminator Loss: 0.1262... Generator Loss: 3.9576 Epoch 1/1... Batch: 300... Discriminator Loss: 0.0734... Generator Loss: 3.5969
Epoch 1/1... Batch: 310... Discriminator Loss: 0.0942... Generator Loss: 3.9767 Epoch 1/1... Batch: 320... Discriminator Loss: 0.1810... Generator Loss: 2.5048 Epoch 1/1... Batch: 330... Discriminator Loss: 0.1633... Generator Loss: 3.9236 Epoch 1/1... Batch: 340... Discriminator Loss: 0.1913... Generator Loss: 2.8811 Epoch 1/1... Batch: 350... Discriminator Loss: 0.3571... Generator Loss: 3.1510 Epoch 1/1... Batch: 360... Discriminator Loss: 0.1336... Generator Loss: 4.5183 Epoch 1/1... Batch: 370... Discriminator Loss: 0.2318... Generator Loss: 3.9684 Epoch 1/1... Batch: 380... Discriminator Loss: 0.4919... Generator Loss: 4.3425 Epoch 1/1... Batch: 390... Discriminator Loss: 0.2604... Generator Loss: 2.5356 Epoch 1/1... Batch: 400... Discriminator Loss: 0.1776... Generator Loss: 4.4420
Epoch 1/1... Batch: 410... Discriminator Loss: 0.3397... Generator Loss: 4.2256 Epoch 1/1... Batch: 420... Discriminator Loss: 0.0518... Generator Loss: 3.8151 Epoch 1/1... Batch: 430... Discriminator Loss: 0.2132... Generator Loss: 4.1715 Epoch 1/1... Batch: 440... Discriminator Loss: 0.0443... Generator Loss: 3.7316 Epoch 1/1... Batch: 450... Discriminator Loss: 0.2348... Generator Loss: 3.4023 Epoch 1/1... Batch: 460... Discriminator Loss: 0.2831... Generator Loss: 3.1856 Epoch 1/1... Batch: 470... Discriminator Loss: 0.1657... Generator Loss: 4.4838 Epoch 1/1... Batch: 480... Discriminator Loss: 0.2624... Generator Loss: 4.6283 Epoch 1/1... Batch: 490... Discriminator Loss: 0.1266... Generator Loss: 3.8905 Epoch 1/1... Batch: 500... Discriminator Loss: 0.1725... Generator Loss: 4.7511
Epoch 1/1... Batch: 510... Discriminator Loss: 0.1681... Generator Loss: 5.7860 Epoch 1/1... Batch: 520... Discriminator Loss: 0.1139... Generator Loss: 2.9901 Epoch 1/1... Batch: 530... Discriminator Loss: 0.1354... Generator Loss: 4.2465 Epoch 1/1... Batch: 540... Discriminator Loss: 0.1113... Generator Loss: 4.9725 Epoch 1/1... Batch: 550... Discriminator Loss: 0.2107... Generator Loss: 3.7930 Epoch 1/1... Batch: 560... Discriminator Loss: 0.3239... Generator Loss: 4.5969 Epoch 1/1... Batch: 570... Discriminator Loss: 0.0597... Generator Loss: 5.4247 Epoch 1/1... Batch: 580... Discriminator Loss: 0.0953... Generator Loss: 4.3009 Epoch 1/1... Batch: 590... Discriminator Loss: 0.0131... Generator Loss: 6.6616 Epoch 1/1... Batch: 600... Discriminator Loss: 0.1401... Generator Loss: 3.9292
Epoch 1/1... Batch: 610... Discriminator Loss: 0.1598... Generator Loss: 3.4371 Epoch 1/1... Batch: 620... Discriminator Loss: 0.0340... Generator Loss: 5.8728 Epoch 1/1... Batch: 630... Discriminator Loss: 0.0426... Generator Loss: 5.8304 Epoch 1/1... Batch: 640... Discriminator Loss: 0.4831... Generator Loss: 5.8424 Epoch 1/1... Batch: 650... Discriminator Loss: 0.1614... Generator Loss: 5.8071 Epoch 1/1... Batch: 660... Discriminator Loss: 0.3108... Generator Loss: 4.5399 Epoch 1/1... Batch: 670... Discriminator Loss: 0.2482... Generator Loss: 3.6268 Epoch 1/1... Batch: 680... Discriminator Loss: 0.0416... Generator Loss: 4.9332 Epoch 1/1... Batch: 690... Discriminator Loss: 0.1766... Generator Loss: 5.9914 Epoch 1/1... Batch: 700... Discriminator Loss: 0.0263... Generator Loss: 4.6600
Epoch 1/1... Batch: 710... Discriminator Loss: 0.0157... Generator Loss: 6.1098 Epoch 1/1... Batch: 720... Discriminator Loss: 0.0151... Generator Loss: 6.4328 Epoch 1/1... Batch: 730... Discriminator Loss: 0.0079... Generator Loss: 6.5086 Epoch 1/1... Batch: 740... Discriminator Loss: 0.0494... Generator Loss: 5.0655 Epoch 1/1... Batch: 750... Discriminator Loss: 0.0653... Generator Loss: 4.2834 Epoch 1/1... Batch: 760... Discriminator Loss: 0.0464... Generator Loss: 4.8907 Epoch 1/1... Batch: 770... Discriminator Loss: 0.1264... Generator Loss: 4.9625 Epoch 1/1... Batch: 780... Discriminator Loss: 0.0713... Generator Loss: 3.8713 Epoch 1/1... Batch: 790... Discriminator Loss: 0.1240... Generator Loss: 5.1432 Epoch 1/1... Batch: 800... Discriminator Loss: 0.0154... Generator Loss: 6.4535
Epoch 1/1... Batch: 810... Discriminator Loss: 0.1160... Generator Loss: 6.2832 Epoch 1/1... Batch: 820... Discriminator Loss: 0.0408... Generator Loss: 9.3546 Epoch 1/1... Batch: 830... Discriminator Loss: 2.4493... Generator Loss: 14.8173 Epoch 1/1... Batch: 840... Discriminator Loss: 0.0505... Generator Loss: 5.0607 Epoch 1/1... Batch: 850... Discriminator Loss: 0.3540... Generator Loss: 11.0274 Epoch 1/1... Batch: 860... Discriminator Loss: 0.1571... Generator Loss: 3.9683 Epoch 1/1... Batch: 870... Discriminator Loss: 0.2006... Generator Loss: 4.5341 Epoch 1/1... Batch: 880... Discriminator Loss: 0.7746... Generator Loss: 9.6606 Epoch 1/1... Batch: 890... Discriminator Loss: 0.0984... Generator Loss: 6.1588 Epoch 1/1... Batch: 900... Discriminator Loss: 0.2786... Generator Loss: 3.6609
Epoch 1/1... Batch: 910... Discriminator Loss: 0.1712... Generator Loss: 4.4669 Epoch 1/1... Batch: 920... Discriminator Loss: 0.1392... Generator Loss: 8.2416 Epoch 1/1... Batch: 930... Discriminator Loss: 0.0212... Generator Loss: 5.2247 Epoch 1/1... Batch: 940... Discriminator Loss: 0.2558... Generator Loss: 7.5405 Epoch 1/1... Batch: 950... Discriminator Loss: 0.0992... Generator Loss: 4.7138 Epoch 1/1... Batch: 960... Discriminator Loss: 0.1527... Generator Loss: 3.3318 Epoch 1/1... Batch: 970... Discriminator Loss: 0.0858... Generator Loss: 4.4923 Epoch 1/1... Batch: 980... Discriminator Loss: 0.1980... Generator Loss: 3.5804 Epoch 1/1... Batch: 990... Discriminator Loss: 0.1236... Generator Loss: 5.4683 Epoch 1/1... Batch: 1000... Discriminator Loss: 0.4064... Generator Loss: 3.0178
Epoch 1/1... Batch: 1010... Discriminator Loss: 0.1287... Generator Loss: 4.9169 Epoch 1/1... Batch: 1020... Discriminator Loss: 0.2449... Generator Loss: 8.7532 Epoch 1/1... Batch: 1030... Discriminator Loss: 0.0773... Generator Loss: 2.5167 Epoch 1/1... Batch: 1040... Discriminator Loss: 0.0292... Generator Loss: 5.4175 Epoch 1/1... Batch: 1050... Discriminator Loss: 0.0413... Generator Loss: 5.3026 Epoch 1/1... Batch: 1060... Discriminator Loss: 0.1204... Generator Loss: 4.4133 Epoch 1/1... Batch: 1070... Discriminator Loss: 0.0194... Generator Loss: 5.4481 Epoch 1/1... Batch: 1080... Discriminator Loss: 0.0559... Generator Loss: 5.5175 Epoch 1/1... Batch: 1090... Discriminator Loss: 0.2878... Generator Loss: 6.3395 Epoch 1/1... Batch: 1100... Discriminator Loss: 0.0627... Generator Loss: 4.4944
Epoch 1/1... Batch: 1110... Discriminator Loss: 0.4421... Generator Loss: 4.1826 Epoch 1/1... Batch: 1120... Discriminator Loss: 0.7429... Generator Loss: 1.9824 Epoch 1/1... Batch: 1130... Discriminator Loss: 0.1448... Generator Loss: 3.6448 Epoch 1/1... Batch: 1140... Discriminator Loss: 0.2003... Generator Loss: 4.5114 Epoch 1/1... Batch: 1150... Discriminator Loss: 0.0223... Generator Loss: 3.3759 Epoch 1/1... Batch: 1160... Discriminator Loss: 0.7641... Generator Loss: 4.5062 Epoch 1/1... Batch: 1170... Discriminator Loss: 0.9604... Generator Loss: 1.7974 Epoch 1/1... Batch: 1180... Discriminator Loss: 0.2293... Generator Loss: 4.2794 Epoch 1/1... Batch: 1190... Discriminator Loss: 1.2726... Generator Loss: 2.4177 Epoch 1/1... Batch: 1200... Discriminator Loss: 0.0563... Generator Loss: 3.9336
Epoch 1/1... Batch: 1210... Discriminator Loss: 0.6457... Generator Loss: 2.2816 Epoch 1/1... Batch: 1220... Discriminator Loss: 0.9749... Generator Loss: 2.4091 Epoch 1/1... Batch: 1230... Discriminator Loss: 0.5973... Generator Loss: 1.4410 Epoch 1/1... Batch: 1240... Discriminator Loss: 0.4804... Generator Loss: 3.6323 Epoch 1/1... Batch: 1250... Discriminator Loss: 1.7504... Generator Loss: 0.9083 Epoch 1/1... Batch: 1260... Discriminator Loss: 0.6745... Generator Loss: 3.7541 Epoch 1/1... Batch: 1270... Discriminator Loss: 0.6181... Generator Loss: 2.7306 Epoch 1/1... Batch: 1280... Discriminator Loss: 0.7444... Generator Loss: 2.8176 Epoch 1/1... Batch: 1290... Discriminator Loss: 0.6579... Generator Loss: 4.6394 Epoch 1/1... Batch: 1300... Discriminator Loss: 0.4930... Generator Loss: 3.4467
Epoch 1/1... Batch: 1310... Discriminator Loss: 0.7149... Generator Loss: 1.8855 Epoch 1/1... Batch: 1320... Discriminator Loss: 0.4134... Generator Loss: 3.3411 Epoch 1/1... Batch: 1330... Discriminator Loss: 0.7839... Generator Loss: 1.8633 Epoch 1/1... Batch: 1340... Discriminator Loss: 0.3733... Generator Loss: 3.0953 Epoch 1/1... Batch: 1350... Discriminator Loss: 0.7676... Generator Loss: 3.4405 Epoch 1/1... Batch: 1360... Discriminator Loss: 0.7992... Generator Loss: 2.8065 Epoch 1/1... Batch: 1370... Discriminator Loss: 0.2865... Generator Loss: 1.9774 Epoch 1/1... Batch: 1380... Discriminator Loss: 0.1984... Generator Loss: 3.4657 Epoch 1/1... Batch: 1390... Discriminator Loss: 0.4259... Generator Loss: 3.0979 Epoch 1/1... Batch: 1400... Discriminator Loss: 0.1850... Generator Loss: 3.4642
Epoch 1/1... Batch: 1410... Discriminator Loss: 0.4463... Generator Loss: 2.7403 Epoch 1/1... Batch: 1420... Discriminator Loss: 0.1078... Generator Loss: 4.9949 Epoch 1/1... Batch: 1430... Discriminator Loss: 0.6262... Generator Loss: 2.5582 Epoch 1/1... Batch: 1440... Discriminator Loss: 0.6660... Generator Loss: 2.7443 Epoch 1/1... Batch: 1450... Discriminator Loss: 0.4243... Generator Loss: 2.6029 Epoch 1/1... Batch: 1460... Discriminator Loss: 0.1871... Generator Loss: 3.9189 Epoch 1/1... Batch: 1470... Discriminator Loss: 0.1626... Generator Loss: 4.4517 Epoch 1/1... Batch: 1480... Discriminator Loss: 0.3970... Generator Loss: 3.3394 Epoch 1/1... Batch: 1490... Discriminator Loss: 1.0428... Generator Loss: 2.6698 Epoch 1/1... Batch: 1500... Discriminator Loss: 0.1265... Generator Loss: 4.3776
Epoch 1/1... Batch: 1510... Discriminator Loss: 0.1452... Generator Loss: 2.9851 Epoch 1/1... Batch: 1520... Discriminator Loss: 0.8119... Generator Loss: 1.5535 Epoch 1/1... Batch: 1530... Discriminator Loss: 0.6042... Generator Loss: 2.2846 Epoch 1/1... Batch: 1540... Discriminator Loss: 0.3083... Generator Loss: 3.9372 Epoch 1/1... Batch: 1550... Discriminator Loss: 0.8877... Generator Loss: 2.4283 Epoch 1/1... Batch: 1560... Discriminator Loss: 0.3980... Generator Loss: 3.5333 Epoch 1/1... Batch: 1570... Discriminator Loss: 0.2206... Generator Loss: 3.8305 Epoch 1/1... Batch: 1580... Discriminator Loss: 0.4372... Generator Loss: 3.4199 Epoch 1/1... Batch: 1590... Discriminator Loss: 0.3499... Generator Loss: 3.4591 Epoch 1/1... Batch: 1600... Discriminator Loss: 0.2621... Generator Loss: 2.7944
Epoch 1/1... Batch: 1610... Discriminator Loss: 0.1206... Generator Loss: 3.3177 Epoch 1/1... Batch: 1620... Discriminator Loss: 0.3222... Generator Loss: 3.4923 Epoch 1/1... Batch: 1630... Discriminator Loss: 0.3710... Generator Loss: 3.1200 Epoch 1/1... Batch: 1640... Discriminator Loss: 0.5935... Generator Loss: 1.5132 Epoch 1/1... Batch: 1650... Discriminator Loss: 0.4289... Generator Loss: 3.4374 Epoch 1/1... Batch: 1660... Discriminator Loss: 0.1333... Generator Loss: 4.7864 Epoch 1/1... Batch: 1670... Discriminator Loss: 0.5146... Generator Loss: 3.0102 Epoch 1/1... Batch: 1680... Discriminator Loss: 0.3688... Generator Loss: 3.3317 Epoch 1/1... Batch: 1690... Discriminator Loss: 0.5791... Generator Loss: 3.0710 Epoch 1/1... Batch: 1700... Discriminator Loss: 0.5674... Generator Loss: 2.3699
Epoch 1/1... Batch: 1710... Discriminator Loss: 0.2400... Generator Loss: 2.5024 Epoch 1/1... Batch: 1720... Discriminator Loss: 0.3428... Generator Loss: 2.6437 Epoch 1/1... Batch: 1730... Discriminator Loss: 0.4798... Generator Loss: 2.7629 Epoch 1/1... Batch: 1740... Discriminator Loss: 0.4401... Generator Loss: 2.5204 Epoch 1/1... Batch: 1750... Discriminator Loss: 0.3757... Generator Loss: 3.7764 Epoch 1/1... Batch: 1760... Discriminator Loss: 0.3833... Generator Loss: 2.9473 Epoch 1/1... Batch: 1770... Discriminator Loss: 0.2282... Generator Loss: 3.0506 Epoch 1/1... Batch: 1780... Discriminator Loss: 0.4545... Generator Loss: 3.0361 Epoch 1/1... Batch: 1790... Discriminator Loss: 0.2671... Generator Loss: 3.1982 Epoch 1/1... Batch: 1800... Discriminator Loss: 0.2842... Generator Loss: 3.0349
Epoch 1/1... Batch: 1810... Discriminator Loss: 0.6159... Generator Loss: 3.9687 Epoch 1/1... Batch: 1820... Discriminator Loss: 0.5524... Generator Loss: 2.3119 Epoch 1/1... Batch: 1830... Discriminator Loss: 0.8668... Generator Loss: 1.8547 Epoch 1/1... Batch: 1840... Discriminator Loss: 0.3133... Generator Loss: 3.4554 Epoch 1/1... Batch: 1850... Discriminator Loss: 0.2940... Generator Loss: 3.4339 Epoch 1/1... Batch: 1860... Discriminator Loss: 1.0058... Generator Loss: 1.7840 Epoch 1/1... Batch: 1870... Discriminator Loss: 0.3732... Generator Loss: 1.8029 Epoch 1/1... Batch: 1880... Discriminator Loss: 0.3768... Generator Loss: 3.7126 Epoch 1/1... Batch: 1890... Discriminator Loss: 0.2723... Generator Loss: 3.5887 Epoch 1/1... Batch: 1900... Discriminator Loss: 0.3251... Generator Loss: 3.7040
Epoch 1/1... Batch: 1910... Discriminator Loss: 0.4235... Generator Loss: 1.9022 Epoch 1/1... Batch: 1920... Discriminator Loss: 0.4358... Generator Loss: 2.2268 Epoch 1/1... Batch: 1930... Discriminator Loss: 0.7750... Generator Loss: 2.4627 Epoch 1/1... Batch: 1940... Discriminator Loss: 0.1850... Generator Loss: 2.7095 Epoch 1/1... Batch: 1950... Discriminator Loss: 0.4200... Generator Loss: 2.9925 Epoch 1/1... Batch: 1960... Discriminator Loss: 0.5466... Generator Loss: 2.5605 Epoch 1/1... Batch: 1970... Discriminator Loss: 0.5260... Generator Loss: 1.9006 Epoch 1/1... Batch: 1980... Discriminator Loss: 0.2741... Generator Loss: 2.6973 Epoch 1/1... Batch: 1990... Discriminator Loss: 0.6957... Generator Loss: 3.2956 Epoch 1/1... Batch: 2000... Discriminator Loss: 0.3176... Generator Loss: 2.4862
Epoch 1/1... Batch: 2010... Discriminator Loss: 0.4166... Generator Loss: 2.2969 Epoch 1/1... Batch: 2020... Discriminator Loss: 0.5183... Generator Loss: 3.3335 Epoch 1/1... Batch: 2030... Discriminator Loss: 0.2659... Generator Loss: 1.4907 Epoch 1/1... Batch: 2040... Discriminator Loss: 0.6445... Generator Loss: 2.6558 Epoch 1/1... Batch: 2050... Discriminator Loss: 0.3916... Generator Loss: 2.0800 Epoch 1/1... Batch: 2060... Discriminator Loss: 0.3800... Generator Loss: 2.2911 Epoch 1/1... Batch: 2070... Discriminator Loss: 0.4721... Generator Loss: 3.0187 Epoch 1/1... Batch: 2080... Discriminator Loss: 0.5855... Generator Loss: 2.5713 Epoch 1/1... Batch: 2090... Discriminator Loss: 0.3284... Generator Loss: 3.0663 Epoch 1/1... Batch: 2100... Discriminator Loss: 0.4661... Generator Loss: 3.4602
Epoch 1/1... Batch: 2110... Discriminator Loss: 0.6176... Generator Loss: 3.9343 Epoch 1/1... Batch: 2120... Discriminator Loss: 0.3736... Generator Loss: 2.9821 Epoch 1/1... Batch: 2130... Discriminator Loss: 0.2369... Generator Loss: 3.7345 Epoch 1/1... Batch: 2140... Discriminator Loss: 0.8037... Generator Loss: 1.7051 Epoch 1/1... Batch: 2150... Discriminator Loss: 0.5342... Generator Loss: 2.7391 Epoch 1/1... Batch: 2160... Discriminator Loss: 0.2046... Generator Loss: 2.8511 Epoch 1/1... Batch: 2170... Discriminator Loss: 1.1220... Generator Loss: 1.7527 Epoch 1/1... Batch: 2180... Discriminator Loss: 0.2611... Generator Loss: 3.9930 Epoch 1/1... Batch: 2190... Discriminator Loss: 0.7340... Generator Loss: 1.9523 Epoch 1/1... Batch: 2200... Discriminator Loss: 0.5269... Generator Loss: 3.0844
Epoch 1/1... Batch: 2210... Discriminator Loss: 0.4728... Generator Loss: 2.8874 Epoch 1/1... Batch: 2220... Discriminator Loss: 0.2427... Generator Loss: 2.1217 Epoch 1/1... Batch: 2230... Discriminator Loss: 0.6403... Generator Loss: 2.2762 Epoch 1/1... Batch: 2240... Discriminator Loss: 0.7975... Generator Loss: 1.9374 Epoch 1/1... Batch: 2250... Discriminator Loss: 0.6541... Generator Loss: 1.1030 Epoch 1/1... Batch: 2260... Discriminator Loss: 0.5569... Generator Loss: 2.4152 Epoch 1/1... Batch: 2270... Discriminator Loss: 0.6781... Generator Loss: 2.1425 Epoch 1/1... Batch: 2280... Discriminator Loss: 0.6825... Generator Loss: 2.1902 Epoch 1/1... Batch: 2290... Discriminator Loss: 1.0175... Generator Loss: 2.0161 Epoch 1/1... Batch: 2300... Discriminator Loss: 0.4830... Generator Loss: 3.6390
Epoch 1/1... Batch: 2310... Discriminator Loss: 0.6669... Generator Loss: 1.8798 Epoch 1/1... Batch: 2320... Discriminator Loss: 0.2066... Generator Loss: 2.4082 Epoch 1/1... Batch: 2330... Discriminator Loss: 0.5560... Generator Loss: 2.5023 Epoch 1/1... Batch: 2340... Discriminator Loss: 0.6040... Generator Loss: 3.8456 Epoch 1/1... Batch: 2350... Discriminator Loss: 0.6436... Generator Loss: 2.5354 Epoch 1/1... Batch: 2360... Discriminator Loss: 1.3162... Generator Loss: 1.6104 Epoch 1/1... Batch: 2370... Discriminator Loss: 1.2646... Generator Loss: 2.5716 Epoch 1/1... Batch: 2380... Discriminator Loss: 0.5720... Generator Loss: 2.4858 Epoch 1/1... Batch: 2390... Discriminator Loss: 0.8796... Generator Loss: 2.3212 Epoch 1/1... Batch: 2400... Discriminator Loss: 0.3399... Generator Loss: 2.1279
Epoch 1/1... Batch: 2410... Discriminator Loss: 1.6252... Generator Loss: 1.4504 Epoch 1/1... Batch: 2420... Discriminator Loss: 0.4901... Generator Loss: 2.3104 Epoch 1/1... Batch: 2430... Discriminator Loss: 0.4784... Generator Loss: 2.0366 Epoch 1/1... Batch: 2440... Discriminator Loss: 0.7482... Generator Loss: 2.6569 Epoch 1/1... Batch: 2450... Discriminator Loss: 0.4514... Generator Loss: 2.5835 Epoch 1/1... Batch: 2460... Discriminator Loss: 0.9680... Generator Loss: 2.7695 Epoch 1/1... Batch: 2470... Discriminator Loss: 0.5550... Generator Loss: 2.6895 Epoch 1/1... Batch: 2480... Discriminator Loss: 0.5166... Generator Loss: 2.2113 Epoch 1/1... Batch: 2490... Discriminator Loss: 0.6893... Generator Loss: 1.9270 Epoch 1/1... Batch: 2500... Discriminator Loss: 0.6592... Generator Loss: 1.1957
Epoch 1/1... Batch: 2510... Discriminator Loss: 0.5006... Generator Loss: 2.3946 Epoch 1/1... Batch: 2520... Discriminator Loss: 0.7887... Generator Loss: 2.1764 Epoch 1/1... Batch: 2530... Discriminator Loss: 0.8477... Generator Loss: 3.0630 Epoch 1/1... Batch: 2540... Discriminator Loss: 0.2232... Generator Loss: 1.8995 Epoch 1/1... Batch: 2550... Discriminator Loss: 0.7512... Generator Loss: 3.2801 Epoch 1/1... Batch: 2560... Discriminator Loss: 0.8637... Generator Loss: 1.8938 Epoch 1/1... Batch: 2570... Discriminator Loss: 0.8931... Generator Loss: 2.1979 Epoch 1/1... Batch: 2580... Discriminator Loss: 0.9011... Generator Loss: 1.6566 Epoch 1/1... Batch: 2590... Discriminator Loss: 1.0953... Generator Loss: 2.2017 Epoch 1/1... Batch: 2600... Discriminator Loss: 0.4876... Generator Loss: 2.7532
Epoch 1/1... Batch: 2610... Discriminator Loss: 0.7771... Generator Loss: 1.6477 Epoch 1/1... Batch: 2620... Discriminator Loss: 0.7054... Generator Loss: 2.4291 Epoch 1/1... Batch: 2630... Discriminator Loss: 0.5062... Generator Loss: 3.2575 Epoch 1/1... Batch: 2640... Discriminator Loss: 0.6763... Generator Loss: 2.0167 Epoch 1/1... Batch: 2650... Discriminator Loss: 1.3063... Generator Loss: 1.9236 Epoch 1/1... Batch: 2660... Discriminator Loss: 0.8172... Generator Loss: 1.1053 Epoch 1/1... Batch: 2670... Discriminator Loss: 1.0819... Generator Loss: 1.7719 Epoch 1/1... Batch: 2680... Discriminator Loss: 0.7405... Generator Loss: 1.5503 Epoch 1/1... Batch: 2690... Discriminator Loss: 0.3383... Generator Loss: 1.6744 Epoch 1/1... Batch: 2700... Discriminator Loss: 0.6310... Generator Loss: 1.8280
Epoch 1/1... Batch: 2710... Discriminator Loss: 0.6908... Generator Loss: 1.6408 Epoch 1/1... Batch: 2720... Discriminator Loss: 1.5707... Generator Loss: 1.0335 Epoch 1/1... Batch: 2730... Discriminator Loss: 1.0186... Generator Loss: 1.4506 Epoch 1/1... Batch: 2740... Discriminator Loss: 0.6325... Generator Loss: 2.2061 Epoch 1/1... Batch: 2750... Discriminator Loss: 0.6119... Generator Loss: 1.3560 Epoch 1/1... Batch: 2760... Discriminator Loss: 0.7826... Generator Loss: 1.9490 Epoch 1/1... Batch: 2770... Discriminator Loss: 0.5598... Generator Loss: 2.1324 Epoch 1/1... Batch: 2780... Discriminator Loss: 0.8859... Generator Loss: 2.5633 Epoch 1/1... Batch: 2790... Discriminator Loss: 0.7885... Generator Loss: 1.6027 Epoch 1/1... Batch: 2800... Discriminator Loss: 1.1725... Generator Loss: 2.0576
Epoch 1/1... Batch: 2810... Discriminator Loss: 0.5076... Generator Loss: 1.9672 Epoch 1/1... Batch: 2820... Discriminator Loss: 0.6794... Generator Loss: 1.5979 Epoch 1/1... Batch: 2830... Discriminator Loss: 0.9617... Generator Loss: 1.7167 Epoch 1/1... Batch: 2840... Discriminator Loss: 1.1953... Generator Loss: 2.4887 Epoch 1/1... Batch: 2850... Discriminator Loss: 0.3950... Generator Loss: 1.7159 Epoch 1/1... Batch: 2860... Discriminator Loss: 0.6517... Generator Loss: 1.5178 Epoch 1/1... Batch: 2870... Discriminator Loss: 1.0618... Generator Loss: 1.4210 Epoch 1/1... Batch: 2880... Discriminator Loss: 0.6320... Generator Loss: 2.4593 Epoch 1/1... Batch: 2890... Discriminator Loss: 0.8444... Generator Loss: 0.9800 Epoch 1/1... Batch: 2900... Discriminator Loss: 1.0560... Generator Loss: 1.0911
Epoch 1/1... Batch: 2910... Discriminator Loss: 1.0572... Generator Loss: 0.9534 Epoch 1/1... Batch: 2920... Discriminator Loss: 0.8037... Generator Loss: 2.3856 Epoch 1/1... Batch: 2930... Discriminator Loss: 1.0388... Generator Loss: 1.6123 Epoch 1/1... Batch: 2940... Discriminator Loss: 1.1389... Generator Loss: 1.9050 Epoch 1/1... Batch: 2950... Discriminator Loss: 1.2222... Generator Loss: 1.4074 Epoch 1/1... Batch: 2960... Discriminator Loss: 1.5731... Generator Loss: 1.6212 Epoch 1/1... Batch: 2970... Discriminator Loss: 1.1281... Generator Loss: 2.3301 Epoch 1/1... Batch: 2980... Discriminator Loss: 1.5567... Generator Loss: 2.2525 Epoch 1/1... Batch: 2990... Discriminator Loss: 0.7726... Generator Loss: 1.3619 Epoch 1/1... Batch: 3000... Discriminator Loss: 1.0277... Generator Loss: 2.0124
Epoch 1/1... Batch: 3010... Discriminator Loss: 0.9766... Generator Loss: 1.5012 Epoch 1/1... Batch: 3020... Discriminator Loss: 0.8290... Generator Loss: 1.8015 Epoch 1/1... Batch: 3030... Discriminator Loss: 0.9625... Generator Loss: 1.3155 Epoch 1/1... Batch: 3040... Discriminator Loss: 0.5514... Generator Loss: 1.4495 Epoch 1/1... Batch: 3050... Discriminator Loss: 0.7278... Generator Loss: 2.7109 Epoch 1/1... Batch: 3060... Discriminator Loss: 0.6449... Generator Loss: 2.1179 Epoch 1/1... Batch: 3070... Discriminator Loss: 0.7283... Generator Loss: 2.4050 Epoch 1/1... Batch: 3080... Discriminator Loss: 1.3299... Generator Loss: 1.1410 Epoch 1/1... Batch: 3090... Discriminator Loss: 0.8698... Generator Loss: 1.2802 Epoch 1/1... Batch: 3100... Discriminator Loss: 0.8994... Generator Loss: 2.1607
Epoch 1/1... Batch: 3110... Discriminator Loss: 0.7653... Generator Loss: 1.6553 Epoch 1/1... Batch: 3120... Discriminator Loss: 0.9682... Generator Loss: 1.6382 Epoch 1/1... Batch: 3130... Discriminator Loss: 1.1876... Generator Loss: 1.4270 Epoch 1/1... Batch: 3140... Discriminator Loss: 1.0169... Generator Loss: 2.3186 Epoch 1/1... Batch: 3150... Discriminator Loss: 0.5599... Generator Loss: 2.0851 Epoch 1/1... Batch: 3160... Discriminator Loss: 0.7190... Generator Loss: 1.6590 Epoch 1/1... Batch: 3170... Discriminator Loss: 0.7675... Generator Loss: 1.5026 Epoch 1/1... Batch: 3180... Discriminator Loss: 1.0363... Generator Loss: 1.5041 Epoch 1/1... Batch: 3190... Discriminator Loss: 0.8385... Generator Loss: 1.7639 Epoch 1/1... Batch: 3200... Discriminator Loss: 1.0087... Generator Loss: 1.5615
Epoch 1/1... Batch: 3210... Discriminator Loss: 0.8337... Generator Loss: 1.5730 Epoch 1/1... Batch: 3220... Discriminator Loss: 1.2270... Generator Loss: 1.8302 Epoch 1/1... Batch: 3230... Discriminator Loss: 1.2391... Generator Loss: 2.8923 Epoch 1/1... Batch: 3240... Discriminator Loss: 0.6545... Generator Loss: 1.7092 Epoch 1/1... Batch: 3250... Discriminator Loss: 0.7315... Generator Loss: 1.6289 Epoch 1/1... Batch: 3260... Discriminator Loss: 0.4549... Generator Loss: 1.8890 Epoch 1/1... Batch: 3270... Discriminator Loss: 0.6320... Generator Loss: 2.4460 Epoch 1/1... Batch: 3280... Discriminator Loss: 0.8208... Generator Loss: 1.9372 Epoch 1/1... Batch: 3290... Discriminator Loss: 0.8154... Generator Loss: 1.7306 Epoch 1/1... Batch: 3300... Discriminator Loss: 1.1959... Generator Loss: 1.3618
Epoch 1/1... Batch: 3310... Discriminator Loss: 0.3051... Generator Loss: 2.2187 Epoch 1/1... Batch: 3320... Discriminator Loss: 0.6425... Generator Loss: 2.2747 Epoch 1/1... Batch: 3330... Discriminator Loss: 0.5959... Generator Loss: 1.6370 Epoch 1/1... Batch: 3340... Discriminator Loss: 0.9502... Generator Loss: 1.5441 Epoch 1/1... Batch: 3350... Discriminator Loss: 0.9591... Generator Loss: 0.9139 Epoch 1/1... Batch: 3360... Discriminator Loss: 0.5355... Generator Loss: 1.7588 Epoch 1/1... Batch: 3370... Discriminator Loss: 0.5703... Generator Loss: 2.2492 Epoch 1/1... Batch: 3380... Discriminator Loss: 0.4443... Generator Loss: 2.0444 Epoch 1/1... Batch: 3390... Discriminator Loss: 0.5043... Generator Loss: 2.4512 Epoch 1/1... Batch: 3400... Discriminator Loss: 0.8170... Generator Loss: 1.6272
Epoch 1/1... Batch: 3410... Discriminator Loss: 1.0801... Generator Loss: 2.0161 Epoch 1/1... Batch: 3420... Discriminator Loss: 0.7239... Generator Loss: 2.0928 Epoch 1/1... Batch: 3430... Discriminator Loss: 0.4832... Generator Loss: 2.6088 Epoch 1/1... Batch: 3440... Discriminator Loss: 0.5529... Generator Loss: 2.2806 Epoch 1/1... Batch: 3450... Discriminator Loss: 0.4898... Generator Loss: 1.7016 Epoch 1/1... Batch: 3460... Discriminator Loss: 1.1569... Generator Loss: 1.3091 Epoch 1/1... Batch: 3470... Discriminator Loss: 0.3086... Generator Loss: 2.3552 Epoch 1/1... Batch: 3480... Discriminator Loss: 1.1407... Generator Loss: 1.9467 Epoch 1/1... Batch: 3490... Discriminator Loss: 0.8148... Generator Loss: 1.6790 Epoch 1/1... Batch: 3500... Discriminator Loss: 1.0930... Generator Loss: 1.1071
Epoch 1/1... Batch: 3510... Discriminator Loss: 0.9601... Generator Loss: 1.2539 Epoch 1/1... Batch: 3520... Discriminator Loss: 0.7234... Generator Loss: 2.3449 Epoch 1/1... Batch: 3530... Discriminator Loss: 1.2361... Generator Loss: 1.1777 Epoch 1/1... Batch: 3540... Discriminator Loss: 1.0501... Generator Loss: 2.1510 Epoch 1/1... Batch: 3550... Discriminator Loss: 0.9236... Generator Loss: 1.6404 Epoch 1/1... Batch: 3560... Discriminator Loss: 0.4849... Generator Loss: 1.4338 Epoch 1/1... Batch: 3570... Discriminator Loss: 0.9130... Generator Loss: 2.2858 Epoch 1/1... Batch: 3580... Discriminator Loss: 0.7096... Generator Loss: 2.2089 Epoch 1/1... Batch: 3590... Discriminator Loss: 0.8427... Generator Loss: 1.2710 Epoch 1/1... Batch: 3600... Discriminator Loss: 0.7047... Generator Loss: 2.3559
Epoch 1/1... Batch: 3610... Discriminator Loss: 0.8721... Generator Loss: 1.5458 Epoch 1/1... Batch: 3620... Discriminator Loss: 1.0463... Generator Loss: 1.6647 Epoch 1/1... Batch: 3630... Discriminator Loss: 0.8615... Generator Loss: 2.1835 Epoch 1/1... Batch: 3640... Discriminator Loss: 1.0995... Generator Loss: 1.2795 Epoch 1/1... Batch: 3650... Discriminator Loss: 0.5414... Generator Loss: 1.3597 Epoch 1/1... Batch: 3660... Discriminator Loss: 0.4804... Generator Loss: 2.0461 Epoch 1/1... Batch: 3670... Discriminator Loss: 0.5964... Generator Loss: 2.1506 Epoch 1/1... Batch: 3680... Discriminator Loss: 1.1766... Generator Loss: 1.1148 Epoch 1/1... Batch: 3690... Discriminator Loss: 0.9316... Generator Loss: 1.6553 Epoch 1/1... Batch: 3700... Discriminator Loss: 0.8647... Generator Loss: 2.1978
Epoch 1/1... Batch: 3710... Discriminator Loss: 1.0275... Generator Loss: 2.6081 Epoch 1/1... Batch: 3720... Discriminator Loss: 0.7879... Generator Loss: 1.5269 Epoch 1/1... Batch: 3730... Discriminator Loss: 0.6882... Generator Loss: 2.4388 Epoch 1/1... Batch: 3740... Discriminator Loss: 1.0606... Generator Loss: 2.1072 Epoch 1/1... Batch: 3750... Discriminator Loss: 0.6105... Generator Loss: 1.3796 Epoch 1/1... Batch: 3760... Discriminator Loss: 0.8800... Generator Loss: 1.6782 Epoch 1/1... Batch: 3770... Discriminator Loss: 0.5711... Generator Loss: 2.4745 Epoch 1/1... Batch: 3780... Discriminator Loss: 0.4798... Generator Loss: 1.5401 Epoch 1/1... Batch: 3790... Discriminator Loss: 0.6007... Generator Loss: 2.4787 Epoch 1/1... Batch: 3800... Discriminator Loss: 0.6386... Generator Loss: 1.9658
Epoch 1/1... Batch: 3810... Discriminator Loss: 0.6676... Generator Loss: 2.1041 Epoch 1/1... Batch: 3820... Discriminator Loss: 1.2193... Generator Loss: 1.4196 Epoch 1/1... Batch: 3830... Discriminator Loss: 1.8022... Generator Loss: 0.7957 Epoch 1/1... Batch: 3840... Discriminator Loss: 1.0042... Generator Loss: 2.7224 Epoch 1/1... Batch: 3850... Discriminator Loss: 0.5359... Generator Loss: 2.1139 Epoch 1/1... Batch: 3860... Discriminator Loss: 0.8080... Generator Loss: 1.9481 Epoch 1/1... Batch: 3870... Discriminator Loss: 0.6106... Generator Loss: 2.2641 Epoch 1/1... Batch: 3880... Discriminator Loss: 0.9664... Generator Loss: 0.9842 Epoch 1/1... Batch: 3890... Discriminator Loss: 1.2098... Generator Loss: 1.5286 Epoch 1/1... Batch: 3900... Discriminator Loss: 1.0458... Generator Loss: 1.7312
Epoch 1/1... Batch: 3910... Discriminator Loss: 1.0743... Generator Loss: 1.9465 Epoch 1/1... Batch: 3920... Discriminator Loss: 0.9929... Generator Loss: 1.4799 Epoch 1/1... Batch: 3930... Discriminator Loss: 0.9312... Generator Loss: 2.6744 Epoch 1/1... Batch: 3940... Discriminator Loss: 1.0066... Generator Loss: 1.6672 Epoch 1/1... Batch: 3950... Discriminator Loss: 0.6731... Generator Loss: 2.3590 Epoch 1/1... Batch: 3960... Discriminator Loss: 0.9153... Generator Loss: 1.6148 Epoch 1/1... Batch: 3970... Discriminator Loss: 0.9496... Generator Loss: 1.0632 Epoch 1/1... Batch: 3980... Discriminator Loss: 0.8002... Generator Loss: 1.7933 Epoch 1/1... Batch: 3990... Discriminator Loss: 0.7209... Generator Loss: 1.3919 Epoch 1/1... Batch: 4000... Discriminator Loss: 0.4580... Generator Loss: 1.8026
Epoch 1/1... Batch: 4010... Discriminator Loss: 1.2917... Generator Loss: 2.2320 Epoch 1/1... Batch: 4020... Discriminator Loss: 0.8616... Generator Loss: 1.8190 Epoch 1/1... Batch: 4030... Discriminator Loss: 1.3881... Generator Loss: 0.5899 Epoch 1/1... Batch: 4040... Discriminator Loss: 0.7376... Generator Loss: 2.6400 Epoch 1/1... Batch: 4050... Discriminator Loss: 0.7467... Generator Loss: 1.8769 Epoch 1/1... Batch: 4060... Discriminator Loss: 0.3646... Generator Loss: 1.4870 Epoch 1/1... Batch: 4070... Discriminator Loss: 0.6405... Generator Loss: 2.6328 Epoch 1/1... Batch: 4080... Discriminator Loss: 0.7939... Generator Loss: 1.8086 Epoch 1/1... Batch: 4090... Discriminator Loss: 1.0964... Generator Loss: 1.4923 Epoch 1/1... Batch: 4100... Discriminator Loss: 1.1169... Generator Loss: 1.3629
Epoch 1/1... Batch: 4110... Discriminator Loss: 0.7948... Generator Loss: 1.8023 Epoch 1/1... Batch: 4120... Discriminator Loss: 0.8476... Generator Loss: 2.0032 Epoch 1/1... Batch: 4130... Discriminator Loss: 0.7502... Generator Loss: 2.1427 Epoch 1/1... Batch: 4140... Discriminator Loss: 0.7076... Generator Loss: 1.9239 Epoch 1/1... Batch: 4150... Discriminator Loss: 0.7346... Generator Loss: 1.9345 Epoch 1/1... Batch: 4160... Discriminator Loss: 0.7910... Generator Loss: 1.5107 Epoch 1/1... Batch: 4170... Discriminator Loss: 1.0908... Generator Loss: 1.1940 Epoch 1/1... Batch: 4180... Discriminator Loss: 0.5441... Generator Loss: 1.7509 Epoch 1/1... Batch: 4190... Discriminator Loss: 0.7931... Generator Loss: 1.5886 Epoch 1/1... Batch: 4200... Discriminator Loss: 0.9597... Generator Loss: 1.5853
Epoch 1/1... Batch: 4210... Discriminator Loss: 0.8806... Generator Loss: 1.5987 Epoch 1/1... Batch: 4220... Discriminator Loss: 0.5521... Generator Loss: 2.7655 Epoch 1/1... Batch: 4230... Discriminator Loss: 0.6098... Generator Loss: 1.4073 Epoch 1/1... Batch: 4240... Discriminator Loss: 1.5180... Generator Loss: 1.5588 Epoch 1/1... Batch: 4250... Discriminator Loss: 0.9931... Generator Loss: 1.4631 Epoch 1/1... Batch: 4260... Discriminator Loss: 0.8146... Generator Loss: 1.2124 Epoch 1/1... Batch: 4270... Discriminator Loss: 0.8838... Generator Loss: 1.4768 Epoch 1/1... Batch: 4280... Discriminator Loss: 1.0892... Generator Loss: 1.0252 Epoch 1/1... Batch: 4290... Discriminator Loss: 1.0130... Generator Loss: 1.8292 Epoch 1/1... Batch: 4300... Discriminator Loss: 0.7718... Generator Loss: 1.3645
Epoch 1/1... Batch: 4310... Discriminator Loss: 0.8889... Generator Loss: 1.6516 Epoch 1/1... Batch: 4320... Discriminator Loss: 0.6724... Generator Loss: 1.8490 Epoch 1/1... Batch: 4330... Discriminator Loss: 0.9950... Generator Loss: 2.9434 Epoch 1/1... Batch: 4340... Discriminator Loss: 0.7483... Generator Loss: 1.4140 Epoch 1/1... Batch: 4350... Discriminator Loss: 0.7046... Generator Loss: 1.7226 Epoch 1/1... Batch: 4360... Discriminator Loss: 1.2738... Generator Loss: 1.1441 Epoch 1/1... Batch: 4370... Discriminator Loss: 0.7791... Generator Loss: 2.3199 Epoch 1/1... Batch: 4380... Discriminator Loss: 0.8477... Generator Loss: 1.4075 Epoch 1/1... Batch: 4390... Discriminator Loss: 1.3039... Generator Loss: 1.8933 Epoch 1/1... Batch: 4400... Discriminator Loss: 0.9840... Generator Loss: 1.2385
Epoch 1/1... Batch: 4410... Discriminator Loss: 0.8925... Generator Loss: 1.7110 Epoch 1/1... Batch: 4420... Discriminator Loss: 1.3318... Generator Loss: 1.5745 Epoch 1/1... Batch: 4430... Discriminator Loss: 0.6438... Generator Loss: 2.2152 Epoch 1/1... Batch: 4440... Discriminator Loss: 0.5728... Generator Loss: 2.0775 Epoch 1/1... Batch: 4450... Discriminator Loss: 0.5285... Generator Loss: 1.5496 Epoch 1/1... Batch: 4460... Discriminator Loss: 1.0091... Generator Loss: 2.4629 Epoch 1/1... Batch: 4470... Discriminator Loss: 0.7990... Generator Loss: 1.9290 Epoch 1/1... Batch: 4480... Discriminator Loss: 0.7933... Generator Loss: 2.2188 Epoch 1/1... Batch: 4490... Discriminator Loss: 0.7798... Generator Loss: 2.6701 Epoch 1/1... Batch: 4500... Discriminator Loss: 0.9679... Generator Loss: 1.8450
Epoch 1/1... Batch: 4510... Discriminator Loss: 0.9277... Generator Loss: 1.6548 Epoch 1/1... Batch: 4520... Discriminator Loss: 0.7565... Generator Loss: 1.9015 Epoch 1/1... Batch: 4530... Discriminator Loss: 0.6917... Generator Loss: 1.4212 Epoch 1/1... Batch: 4540... Discriminator Loss: 1.2560... Generator Loss: 1.1962 Epoch 1/1... Batch: 4550... Discriminator Loss: 0.7752... Generator Loss: 1.9878 Epoch 1/1... Batch: 4560... Discriminator Loss: 0.5851... Generator Loss: 1.4020 Epoch 1/1... Batch: 4570... Discriminator Loss: 0.7752... Generator Loss: 1.6734 Epoch 1/1... Batch: 4580... Discriminator Loss: 0.8689... Generator Loss: 1.7073 Epoch 1/1... Batch: 4590... Discriminator Loss: 0.6572... Generator Loss: 1.5205 Epoch 1/1... Batch: 4600... Discriminator Loss: 0.8324... Generator Loss: 1.1747
Epoch 1/1... Batch: 4610... Discriminator Loss: 0.8367... Generator Loss: 1.7146 Epoch 1/1... Batch: 4620... Discriminator Loss: 0.8466... Generator Loss: 1.4721 Epoch 1/1... Batch: 4630... Discriminator Loss: 0.7646... Generator Loss: 2.0735 Epoch 1/1... Batch: 4640... Discriminator Loss: 1.7534... Generator Loss: 0.4433 Epoch 1/1... Batch: 4650... Discriminator Loss: 0.8151... Generator Loss: 1.7035 Epoch 1/1... Batch: 4660... Discriminator Loss: 0.6069... Generator Loss: 1.5056 Epoch 1/1... Batch: 4670... Discriminator Loss: 0.7494... Generator Loss: 1.5962 Epoch 1/1... Batch: 4680... Discriminator Loss: 0.8479... Generator Loss: 1.5096 Epoch 1/1... Batch: 4690... Discriminator Loss: 0.9934... Generator Loss: 1.4776 Epoch 1/1... Batch: 4700... Discriminator Loss: 0.9878... Generator Loss: 1.8036
Epoch 1/1... Batch: 4710... Discriminator Loss: 0.9517... Generator Loss: 1.6454 Epoch 1/1... Batch: 4720... Discriminator Loss: 0.7237... Generator Loss: 1.8408 Epoch 1/1... Batch: 4730... Discriminator Loss: 1.5523... Generator Loss: 0.8836 Epoch 1/1... Batch: 4740... Discriminator Loss: 0.7639... Generator Loss: 1.5916 Epoch 1/1... Batch: 4750... Discriminator Loss: 0.9269... Generator Loss: 1.1763 Epoch 1/1... Batch: 4760... Discriminator Loss: 0.9726... Generator Loss: 1.2030 Epoch 1/1... Batch: 4770... Discriminator Loss: 0.7242... Generator Loss: 1.2791 Epoch 1/1... Batch: 4780... Discriminator Loss: 0.7411... Generator Loss: 1.4069 Epoch 1/1... Batch: 4790... Discriminator Loss: 0.7557... Generator Loss: 1.4243 Epoch 1/1... Batch: 4800... Discriminator Loss: 1.1151... Generator Loss: 2.2801
Epoch 1/1... Batch: 4810... Discriminator Loss: 0.6847... Generator Loss: 1.7727 Epoch 1/1... Batch: 4820... Discriminator Loss: 0.7533... Generator Loss: 1.2790 Epoch 1/1... Batch: 4830... Discriminator Loss: 1.0297... Generator Loss: 1.7856 Epoch 1/1... Batch: 4840... Discriminator Loss: 1.0759... Generator Loss: 1.6613 Epoch 1/1... Batch: 4850... Discriminator Loss: 0.6010... Generator Loss: 1.6328 Epoch 1/1... Batch: 4860... Discriminator Loss: 1.3380... Generator Loss: 1.2130 Epoch 1/1... Batch: 4870... Discriminator Loss: 0.7007... Generator Loss: 1.7236 Epoch 1/1... Batch: 4880... Discriminator Loss: 1.0220... Generator Loss: 1.1691 Epoch 1/1... Batch: 4890... Discriminator Loss: 0.8247... Generator Loss: 1.2879 Epoch 1/1... Batch: 4900... Discriminator Loss: 0.8267... Generator Loss: 2.1356
Epoch 1/1... Batch: 4910... Discriminator Loss: 1.0963... Generator Loss: 1.6718 Epoch 1/1... Batch: 4920... Discriminator Loss: 1.2364... Generator Loss: 1.0424 Epoch 1/1... Batch: 4930... Discriminator Loss: 1.5080... Generator Loss: 1.5025 Epoch 1/1... Batch: 4940... Discriminator Loss: 0.9370... Generator Loss: 1.3983 Epoch 1/1... Batch: 4950... Discriminator Loss: 0.8131... Generator Loss: 1.4443 Epoch 1/1... Batch: 4960... Discriminator Loss: 1.2735... Generator Loss: 1.5396 Epoch 1/1... Batch: 4970... Discriminator Loss: 1.3909... Generator Loss: 1.4605 Epoch 1/1... Batch: 4980... Discriminator Loss: 1.1562... Generator Loss: 1.3353 Epoch 1/1... Batch: 4990... Discriminator Loss: 1.0933... Generator Loss: 1.0091 Epoch 1/1... Batch: 5000... Discriminator Loss: 0.9970... Generator Loss: 1.5935
Epoch 1/1... Batch: 5010... Discriminator Loss: 1.3673... Generator Loss: 0.7178 Epoch 1/1... Batch: 5020... Discriminator Loss: 0.8768... Generator Loss: 1.2496 Epoch 1/1... Batch: 5030... Discriminator Loss: 0.4788... Generator Loss: 2.3367 Epoch 1/1... Batch: 5040... Discriminator Loss: 0.9077... Generator Loss: 1.7168 Epoch 1/1... Batch: 5050... Discriminator Loss: 0.9515... Generator Loss: 1.3265 Epoch 1/1... Batch: 5060... Discriminator Loss: 0.9911... Generator Loss: 1.4264 Epoch 1/1... Batch: 5070... Discriminator Loss: 0.8723... Generator Loss: 1.5055 Epoch 1/1... Batch: 5080... Discriminator Loss: 0.9122... Generator Loss: 1.4687 Epoch 1/1... Batch: 5090... Discriminator Loss: 0.6220... Generator Loss: 1.4762 Epoch 1/1... Batch: 5100... Discriminator Loss: 1.2321... Generator Loss: 1.5028
Epoch 1/1... Batch: 5110... Discriminator Loss: 1.0244... Generator Loss: 1.2136 Epoch 1/1... Batch: 5120... Discriminator Loss: 0.9956... Generator Loss: 1.6249 Epoch 1/1... Batch: 5130... Discriminator Loss: 0.8115... Generator Loss: 1.2957 Epoch 1/1... Batch: 5140... Discriminator Loss: 1.1891... Generator Loss: 2.0274 Epoch 1/1... Batch: 5150... Discriminator Loss: 1.3893... Generator Loss: 1.2197 Epoch 1/1... Batch: 5160... Discriminator Loss: 0.9677... Generator Loss: 0.8663 Epoch 1/1... Batch: 5170... Discriminator Loss: 0.5369... Generator Loss: 1.2262 Epoch 1/1... Batch: 5180... Discriminator Loss: 0.9456... Generator Loss: 1.8468 Epoch 1/1... Batch: 5190... Discriminator Loss: 0.9126... Generator Loss: 1.6742 Epoch 1/1... Batch: 5200... Discriminator Loss: 1.1720... Generator Loss: 1.6809
Epoch 1/1... Batch: 5210... Discriminator Loss: 0.6286... Generator Loss: 1.6070 Epoch 1/1... Batch: 5220... Discriminator Loss: 0.8611... Generator Loss: 2.3896 Epoch 1/1... Batch: 5230... Discriminator Loss: 0.8071... Generator Loss: 1.1651 Epoch 1/1... Batch: 5240... Discriminator Loss: 0.9311... Generator Loss: 1.6012 Epoch 1/1... Batch: 5250... Discriminator Loss: 0.8314... Generator Loss: 1.5595 Epoch 1/1... Batch: 5260... Discriminator Loss: 0.9359... Generator Loss: 1.1745 Epoch 1/1... Batch: 5270... Discriminator Loss: 0.7934... Generator Loss: 1.6266 Epoch 1/1... Batch: 5280... Discriminator Loss: 1.0289... Generator Loss: 1.3560 Epoch 1/1... Batch: 5290... Discriminator Loss: 1.0017... Generator Loss: 2.4048 Epoch 1/1... Batch: 5300... Discriminator Loss: 1.1455... Generator Loss: 2.1630
Epoch 1/1... Batch: 5310... Discriminator Loss: 1.3680... Generator Loss: 1.7477 Epoch 1/1... Batch: 5320... Discriminator Loss: 1.3771... Generator Loss: 1.1559 Epoch 1/1... Batch: 5330... Discriminator Loss: 1.4022... Generator Loss: 1.3753 Epoch 1/1... Batch: 5340... Discriminator Loss: 1.2488... Generator Loss: 1.4920 Epoch 1/1... Batch: 5350... Discriminator Loss: 0.8073... Generator Loss: 1.6540 Epoch 1/1... Batch: 5360... Discriminator Loss: 0.7245... Generator Loss: 1.0319 Epoch 1/1... Batch: 5370... Discriminator Loss: 1.2650... Generator Loss: 0.9758 Epoch 1/1... Batch: 5380... Discriminator Loss: 0.7080... Generator Loss: 1.7054 Epoch 1/1... Batch: 5390... Discriminator Loss: 0.8972... Generator Loss: 1.8477 Epoch 1/1... Batch: 5400... Discriminator Loss: 0.5521... Generator Loss: 2.3153
Epoch 1/1... Batch: 5410... Discriminator Loss: 1.3666... Generator Loss: 1.6812 Epoch 1/1... Batch: 5420... Discriminator Loss: 0.7058... Generator Loss: 2.2034 Epoch 1/1... Batch: 5430... Discriminator Loss: 0.8964... Generator Loss: 1.3526 Epoch 1/1... Batch: 5440... Discriminator Loss: 0.9220... Generator Loss: 1.2937 Epoch 1/1... Batch: 5450... Discriminator Loss: 0.9950... Generator Loss: 1.4722 Epoch 1/1... Batch: 5460... Discriminator Loss: 1.0008... Generator Loss: 1.5121 Epoch 1/1... Batch: 5470... Discriminator Loss: 1.1793... Generator Loss: 1.4719 Epoch 1/1... Batch: 5480... Discriminator Loss: 1.0037... Generator Loss: 0.8505 Epoch 1/1... Batch: 5490... Discriminator Loss: 0.7634... Generator Loss: 1.8103 Epoch 1/1... Batch: 5500... Discriminator Loss: 1.0178... Generator Loss: 0.9077
Epoch 1/1... Batch: 5510... Discriminator Loss: 1.1582... Generator Loss: 1.3085 Epoch 1/1... Batch: 5520... Discriminator Loss: 1.3513... Generator Loss: 1.1671 Epoch 1/1... Batch: 5530... Discriminator Loss: 1.0036... Generator Loss: 1.5044 Epoch 1/1... Batch: 5540... Discriminator Loss: 0.7117... Generator Loss: 1.7600 Epoch 1/1... Batch: 5550... Discriminator Loss: 1.1687... Generator Loss: 2.3746 Epoch 1/1... Batch: 5560... Discriminator Loss: 0.8124... Generator Loss: 1.3509 Epoch 1/1... Batch: 5570... Discriminator Loss: 0.6312... Generator Loss: 1.5481 Epoch 1/1... Batch: 5580... Discriminator Loss: 1.0473... Generator Loss: 1.6204 Epoch 1/1... Batch: 5590... Discriminator Loss: 0.7041... Generator Loss: 1.7286 Epoch 1/1... Batch: 5600... Discriminator Loss: 0.9245... Generator Loss: 0.8417
Epoch 1/1... Batch: 5610... Discriminator Loss: 1.0906... Generator Loss: 2.2949 Epoch 1/1... Batch: 5620... Discriminator Loss: 1.2008... Generator Loss: 1.6409 Epoch 1/1... Batch: 5630... Discriminator Loss: 0.8075... Generator Loss: 0.8800 Epoch 1/1... Batch: 5640... Discriminator Loss: 0.8696... Generator Loss: 1.5653 Epoch 1/1... Batch: 5650... Discriminator Loss: 0.8856... Generator Loss: 1.4250 Epoch 1/1... Batch: 5660... Discriminator Loss: 0.7795... Generator Loss: 1.5420 Epoch 1/1... Batch: 5670... Discriminator Loss: 1.0076... Generator Loss: 1.1759 Epoch 1/1... Batch: 5680... Discriminator Loss: 0.9949... Generator Loss: 1.5067 Epoch 1/1... Batch: 5690... Discriminator Loss: 0.8886... Generator Loss: 1.9498 Epoch 1/1... Batch: 5700... Discriminator Loss: 0.6474... Generator Loss: 1.1854
Epoch 1/1... Batch: 5710... Discriminator Loss: 0.9826... Generator Loss: 0.9700 Epoch 1/1... Batch: 5720... Discriminator Loss: 0.4767... Generator Loss: 1.6905 Epoch 1/1... Batch: 5730... Discriminator Loss: 1.1705... Generator Loss: 1.2339 Epoch 1/1... Batch: 5740... Discriminator Loss: 0.7501... Generator Loss: 1.3079 Epoch 1/1... Batch: 5750... Discriminator Loss: 1.1580... Generator Loss: 0.7555 Epoch 1/1... Batch: 5760... Discriminator Loss: 0.8518... Generator Loss: 1.3980 Epoch 1/1... Batch: 5770... Discriminator Loss: 0.9760... Generator Loss: 1.3150 Epoch 1/1... Batch: 5780... Discriminator Loss: 1.1892... Generator Loss: 1.3339 Epoch 1/1... Batch: 5790... Discriminator Loss: 0.8893... Generator Loss: 1.5607 Epoch 1/1... Batch: 5800... Discriminator Loss: 0.9048... Generator Loss: 1.3235
Epoch 1/1... Batch: 5810... Discriminator Loss: 1.0198... Generator Loss: 1.2508 Epoch 1/1... Batch: 5820... Discriminator Loss: 0.9357... Generator Loss: 2.0078 Epoch 1/1... Batch: 5830... Discriminator Loss: 1.0593... Generator Loss: 0.8030 Epoch 1/1... Batch: 5840... Discriminator Loss: 0.8591... Generator Loss: 1.8367 Epoch 1/1... Batch: 5850... Discriminator Loss: 1.0270... Generator Loss: 1.6844 Epoch 1/1... Batch: 5860... Discriminator Loss: 0.5139... Generator Loss: 2.4671 Epoch 1/1... Batch: 5870... Discriminator Loss: 0.9390... Generator Loss: 2.0248 Epoch 1/1... Batch: 5880... Discriminator Loss: 1.1288... Generator Loss: 1.8262 Epoch 1/1... Batch: 5890... Discriminator Loss: 0.6020... Generator Loss: 1.3312 Epoch 1/1... Batch: 5900... Discriminator Loss: 0.6901... Generator Loss: 1.8183
Epoch 1/1... Batch: 5910... Discriminator Loss: 0.9297... Generator Loss: 1.1800 Epoch 1/1... Batch: 5920... Discriminator Loss: 0.9306... Generator Loss: 1.8449 Epoch 1/1... Batch: 5930... Discriminator Loss: 0.9395... Generator Loss: 1.5553 Epoch 1/1... Batch: 5940... Discriminator Loss: 1.0087... Generator Loss: 1.1798 Epoch 1/1... Batch: 5950... Discriminator Loss: 1.1112... Generator Loss: 1.5206 Epoch 1/1... Batch: 5960... Discriminator Loss: 0.6574... Generator Loss: 1.8571 Epoch 1/1... Batch: 5970... Discriminator Loss: 0.8209... Generator Loss: 1.7368 Epoch 1/1... Batch: 5980... Discriminator Loss: 1.0272... Generator Loss: 1.9013 Epoch 1/1... Batch: 5990... Discriminator Loss: 0.8279... Generator Loss: 1.3189 Epoch 1/1... Batch: 6000... Discriminator Loss: 1.0268... Generator Loss: 0.9680
Epoch 1/1... Batch: 6010... Discriminator Loss: 0.7655... Generator Loss: 1.4936 Epoch 1/1... Batch: 6020... Discriminator Loss: 1.0353... Generator Loss: 1.7126 Epoch 1/1... Batch: 6030... Discriminator Loss: 0.8031... Generator Loss: 1.6398 Epoch 1/1... Batch: 6040... Discriminator Loss: 1.0371... Generator Loss: 1.7745 Epoch 1/1... Batch: 6050... Discriminator Loss: 0.9099... Generator Loss: 0.9974 Epoch 1/1... Batch: 6060... Discriminator Loss: 0.9295... Generator Loss: 1.6164 Epoch 1/1... Batch: 6070... Discriminator Loss: 0.7771... Generator Loss: 2.0005 Epoch 1/1... Batch: 6080... Discriminator Loss: 0.9546... Generator Loss: 2.0175 Epoch 1/1... Batch: 6090... Discriminator Loss: 0.7637... Generator Loss: 1.5589 Epoch 1/1... Batch: 6100... Discriminator Loss: 0.5296... Generator Loss: 1.3819
Epoch 1/1... Batch: 6110... Discriminator Loss: 1.0094... Generator Loss: 1.4862 Epoch 1/1... Batch: 6120... Discriminator Loss: 0.6028... Generator Loss: 1.3330 Epoch 1/1... Batch: 6130... Discriminator Loss: 1.5751... Generator Loss: 0.9728 Epoch 1/1... Batch: 6140... Discriminator Loss: 0.8833... Generator Loss: 1.6907 Epoch 1/1... Batch: 6150... Discriminator Loss: 0.6863... Generator Loss: 1.3639 Epoch 1/1... Batch: 6160... Discriminator Loss: 0.8900... Generator Loss: 1.2905 Epoch 1/1... Batch: 6170... Discriminator Loss: 1.2943... Generator Loss: 0.8315 Epoch 1/1... Batch: 6180... Discriminator Loss: 1.1659... Generator Loss: 1.4406 Epoch 1/1... Batch: 6190... Discriminator Loss: 0.8818... Generator Loss: 1.0679 Epoch 1/1... Batch: 6200... Discriminator Loss: 0.8446... Generator Loss: 0.9494
Epoch 1/1... Batch: 6210... Discriminator Loss: 1.4453... Generator Loss: 1.6123 Epoch 1/1... Batch: 6220... Discriminator Loss: 0.6434... Generator Loss: 2.1590 Epoch 1/1... Batch: 6230... Discriminator Loss: 0.8435... Generator Loss: 1.6278 Epoch 1/1... Batch: 6240... Discriminator Loss: 0.8808... Generator Loss: 1.1631 Epoch 1/1... Batch: 6250... Discriminator Loss: 0.8459... Generator Loss: 1.2418 Epoch 1/1... Batch: 6260... Discriminator Loss: 1.4785... Generator Loss: 0.5074 Epoch 1/1... Batch: 6270... Discriminator Loss: 1.0331... Generator Loss: 2.0532 Epoch 1/1... Batch: 6280... Discriminator Loss: 0.7713... Generator Loss: 1.2683 Epoch 1/1... Batch: 6290... Discriminator Loss: 0.7805... Generator Loss: 1.7537 Epoch 1/1... Batch: 6300... Discriminator Loss: 0.8815... Generator Loss: 1.1628
Epoch 1/1... Batch: 6310... Discriminator Loss: 1.0753... Generator Loss: 1.3209 Epoch 1/1... Batch: 6320... Discriminator Loss: 0.6085... Generator Loss: 1.3180 Epoch 1/1... Batch: 6330... Discriminator Loss: 1.1718... Generator Loss: 1.7536 Epoch 1/1... Batch: 6340... Discriminator Loss: 1.2576... Generator Loss: 1.5719 Epoch 1/1... Batch: 6350... Discriminator Loss: 0.8595... Generator Loss: 1.4464 Epoch 1/1... Batch: 6360... Discriminator Loss: 0.6368... Generator Loss: 1.8244 Epoch 1/1... Batch: 6370... Discriminator Loss: 1.0308... Generator Loss: 1.3235 Epoch 1/1... Batch: 6380... Discriminator Loss: 0.7620... Generator Loss: 1.1484 Epoch 1/1... Batch: 6390... Discriminator Loss: 0.8082... Generator Loss: 1.0671 Epoch 1/1... Batch: 6400... Discriminator Loss: 0.7698... Generator Loss: 1.9852
Epoch 1/1... Batch: 6410... Discriminator Loss: 1.3140... Generator Loss: 0.9480 Epoch 1/1... Batch: 6420... Discriminator Loss: 0.8318... Generator Loss: 1.8745 Epoch 1/1... Batch: 6430... Discriminator Loss: 0.9802... Generator Loss: 1.6354 Epoch 1/1... Batch: 6440... Discriminator Loss: 0.6557... Generator Loss: 1.6022 Epoch 1/1... Batch: 6450... Discriminator Loss: 0.9636... Generator Loss: 1.9305 Epoch 1/1... Batch: 6460... Discriminator Loss: 0.7703... Generator Loss: 1.6974 Epoch 1/1... Batch: 6470... Discriminator Loss: 1.3101... Generator Loss: 1.4171 Epoch 1/1... Batch: 6480... Discriminator Loss: 0.7505... Generator Loss: 1.5389 Epoch 1/1... Batch: 6490... Discriminator Loss: 1.4165... Generator Loss: 1.2051 Epoch 1/1... Batch: 6500... Discriminator Loss: 0.9341... Generator Loss: 1.7466
Epoch 1/1... Batch: 6510... Discriminator Loss: 1.3677... Generator Loss: 1.2376 Epoch 1/1... Batch: 6520... Discriminator Loss: 1.0768... Generator Loss: 1.1463 Epoch 1/1... Batch: 6530... Discriminator Loss: 0.9639... Generator Loss: 0.9753 Epoch 1/1... Batch: 6540... Discriminator Loss: 0.7602... Generator Loss: 1.2295 Epoch 1/1... Batch: 6550... Discriminator Loss: 1.0009... Generator Loss: 1.1223 Epoch 1/1... Batch: 6560... Discriminator Loss: 0.5341... Generator Loss: 2.2019 Epoch 1/1... Batch: 6570... Discriminator Loss: 0.8322... Generator Loss: 0.8036 Epoch 1/1... Batch: 6580... Discriminator Loss: 1.1446... Generator Loss: 2.1687 Epoch 1/1... Batch: 6590... Discriminator Loss: 0.9569... Generator Loss: 1.5250 Epoch 1/1... Batch: 6600... Discriminator Loss: 0.7609... Generator Loss: 1.8370
Epoch 1/1... Batch: 6610... Discriminator Loss: 1.0691... Generator Loss: 1.4509 Epoch 1/1... Batch: 6620... Discriminator Loss: 0.7241... Generator Loss: 1.8308 Epoch 1/1... Batch: 6630... Discriminator Loss: 0.7809... Generator Loss: 1.2867 Epoch 1/1... Batch: 6640... Discriminator Loss: 1.0593... Generator Loss: 1.5970 Epoch 1/1... Batch: 6650... Discriminator Loss: 0.7558... Generator Loss: 1.1200 Epoch 1/1... Batch: 6660... Discriminator Loss: 0.6187... Generator Loss: 2.0235 Epoch 1/1... Batch: 6670... Discriminator Loss: 0.7532... Generator Loss: 2.1574 Epoch 1/1... Batch: 6680... Discriminator Loss: 1.1401... Generator Loss: 0.9850 Epoch 1/1... Batch: 6690... Discriminator Loss: 0.9139... Generator Loss: 1.4915 Epoch 1/1... Batch: 6700... Discriminator Loss: 0.7598... Generator Loss: 1.6888
Epoch 1/1... Batch: 6710... Discriminator Loss: 0.8010... Generator Loss: 1.4105 Epoch 1/1... Batch: 6720... Discriminator Loss: 0.8400... Generator Loss: 1.7729 Epoch 1/1... Batch: 6730... Discriminator Loss: 0.8255... Generator Loss: 1.6067 Epoch 1/1... Batch: 6740... Discriminator Loss: 1.4676... Generator Loss: 1.6948 Epoch 1/1... Batch: 6750... Discriminator Loss: 1.1489... Generator Loss: 1.2315 Epoch 1/1... Batch: 6760... Discriminator Loss: 1.1439... Generator Loss: 1.5870 Epoch 1/1... Batch: 6770... Discriminator Loss: 0.9343... Generator Loss: 1.0204 Epoch 1/1... Batch: 6780... Discriminator Loss: 0.8872... Generator Loss: 1.1304 Epoch 1/1... Batch: 6790... Discriminator Loss: 0.9049... Generator Loss: 1.1202 Epoch 1/1... Batch: 6800... Discriminator Loss: 1.0048... Generator Loss: 1.2785
Epoch 1/1... Batch: 6810... Discriminator Loss: 0.7720... Generator Loss: 0.9468 Epoch 1/1... Batch: 6820... Discriminator Loss: 1.0787... Generator Loss: 1.4660 Epoch 1/1... Batch: 6830... Discriminator Loss: 1.2480... Generator Loss: 1.4408 Epoch 1/1... Batch: 6840... Discriminator Loss: 0.8180... Generator Loss: 1.7020 Epoch 1/1... Batch: 6850... Discriminator Loss: 0.8160... Generator Loss: 1.2138 Epoch 1/1... Batch: 6860... Discriminator Loss: 0.8745... Generator Loss: 1.1199 Epoch 1/1... Batch: 6870... Discriminator Loss: 1.0141... Generator Loss: 0.8952 Epoch 1/1... Batch: 6880... Discriminator Loss: 0.7519... Generator Loss: 1.1290 Epoch 1/1... Batch: 6890... Discriminator Loss: 0.8703... Generator Loss: 1.8876 Epoch 1/1... Batch: 6900... Discriminator Loss: 0.5506... Generator Loss: 1.9638
Epoch 1/1... Batch: 6910... Discriminator Loss: 0.6632... Generator Loss: 1.4897 Epoch 1/1... Batch: 6920... Discriminator Loss: 1.1179... Generator Loss: 1.3804 Epoch 1/1... Batch: 6930... Discriminator Loss: 0.5342... Generator Loss: 1.4044 Epoch 1/1... Batch: 6940... Discriminator Loss: 0.6419... Generator Loss: 1.1920 Epoch 1/1... Batch: 6950... Discriminator Loss: 0.7790... Generator Loss: 0.7677 Epoch 1/1... Batch: 6960... Discriminator Loss: 0.9798... Generator Loss: 1.0100 Epoch 1/1... Batch: 6970... Discriminator Loss: 0.8630... Generator Loss: 1.9319 Epoch 1/1... Batch: 6980... Discriminator Loss: 0.8614... Generator Loss: 1.1495 Epoch 1/1... Batch: 6990... Discriminator Loss: 1.0336... Generator Loss: 1.1024 Epoch 1/1... Batch: 7000... Discriminator Loss: 0.9528... Generator Loss: 1.2078
Epoch 1/1... Batch: 7010... Discriminator Loss: 1.1815... Generator Loss: 1.4769 Epoch 1/1... Batch: 7020... Discriminator Loss: 0.9752... Generator Loss: 1.6284 Epoch 1/1... Batch: 7030... Discriminator Loss: 0.8952... Generator Loss: 1.2076 Epoch 1/1... Batch: 7040... Discriminator Loss: 1.2034... Generator Loss: 1.1324 Epoch 1/1... Batch: 7050... Discriminator Loss: 1.0642... Generator Loss: 1.0842 Epoch 1/1... Batch: 7060... Discriminator Loss: 1.1739... Generator Loss: 0.6782 Epoch 1/1... Batch: 7070... Discriminator Loss: 0.9277... Generator Loss: 1.7137 Epoch 1/1... Batch: 7080... Discriminator Loss: 1.0521... Generator Loss: 1.3766 Epoch 1/1... Batch: 7090... Discriminator Loss: 0.6149... Generator Loss: 1.6529 Epoch 1/1... Batch: 7100... Discriminator Loss: 1.3936... Generator Loss: 1.3838
Epoch 1/1... Batch: 7110... Discriminator Loss: 0.7209... Generator Loss: 1.5392 Epoch 1/1... Batch: 7120... Discriminator Loss: 0.6176... Generator Loss: 1.4789 Epoch 1/1... Batch: 7130... Discriminator Loss: 0.8996... Generator Loss: 1.8222 Epoch 1/1... Batch: 7140... Discriminator Loss: 1.1215... Generator Loss: 0.9004 Epoch 1/1... Batch: 7150... Discriminator Loss: 1.0576... Generator Loss: 1.6430 Epoch 1/1... Batch: 7160... Discriminator Loss: 1.0845... Generator Loss: 1.3245 Epoch 1/1... Batch: 7170... Discriminator Loss: 1.0940... Generator Loss: 1.2346 Epoch 1/1... Batch: 7180... Discriminator Loss: 0.5121... Generator Loss: 0.9646 Epoch 1/1... Batch: 7190... Discriminator Loss: 1.0567... Generator Loss: 1.1191 Epoch 1/1... Batch: 7200... Discriminator Loss: 0.6388... Generator Loss: 1.7703
Epoch 1/1... Batch: 7210... Discriminator Loss: 1.2754... Generator Loss: 1.6492 Epoch 1/1... Batch: 7220... Discriminator Loss: 0.8004... Generator Loss: 1.5010 Epoch 1/1... Batch: 7230... Discriminator Loss: 0.8163... Generator Loss: 0.9807 Epoch 1/1... Batch: 7240... Discriminator Loss: 1.2374... Generator Loss: 1.6657 Epoch 1/1... Batch: 7250... Discriminator Loss: 0.8624... Generator Loss: 1.1851 Epoch 1/1... Batch: 7260... Discriminator Loss: 1.2977... Generator Loss: 1.3874 Epoch 1/1... Batch: 7270... Discriminator Loss: 0.9722... Generator Loss: 1.3101 Epoch 1/1... Batch: 7280... Discriminator Loss: 1.2320... Generator Loss: 0.8398 Epoch 1/1... Batch: 7290... Discriminator Loss: 1.1309... Generator Loss: 0.8948 Epoch 1/1... Batch: 7300... Discriminator Loss: 1.0088... Generator Loss: 1.2216
Epoch 1/1... Batch: 7310... Discriminator Loss: 1.0617... Generator Loss: 1.7335 Epoch 1/1... Batch: 7320... Discriminator Loss: 0.5876... Generator Loss: 1.1249 Epoch 1/1... Batch: 7330... Discriminator Loss: 1.0752... Generator Loss: 2.7385 Epoch 1/1... Batch: 7340... Discriminator Loss: 0.8809... Generator Loss: 1.4743 Epoch 1/1... Batch: 7350... Discriminator Loss: 0.9730... Generator Loss: 1.2074 Epoch 1/1... Batch: 7360... Discriminator Loss: 0.6941... Generator Loss: 2.4859 Epoch 1/1... Batch: 7370... Discriminator Loss: 1.2566... Generator Loss: 1.1629 Epoch 1/1... Batch: 7380... Discriminator Loss: 1.2536... Generator Loss: 1.0452 Epoch 1/1... Batch: 7390... Discriminator Loss: 1.0606... Generator Loss: 1.6611 Epoch 1/1... Batch: 7400... Discriminator Loss: 1.0538... Generator Loss: 1.1734
Epoch 1/1... Batch: 7410... Discriminator Loss: 0.9448... Generator Loss: 1.5035 Epoch 1/1... Batch: 7420... Discriminator Loss: 1.1126... Generator Loss: 1.1550 Epoch 1/1... Batch: 7430... Discriminator Loss: 1.2032... Generator Loss: 0.9853 Epoch 1/1... Batch: 7440... Discriminator Loss: 0.9388... Generator Loss: 0.8634 Epoch 1/1... Batch: 7450... Discriminator Loss: 0.9993... Generator Loss: 1.6177 Epoch 1/1... Batch: 7460... Discriminator Loss: 1.2357... Generator Loss: 1.3540 Epoch 1/1... Batch: 7470... Discriminator Loss: 1.0818... Generator Loss: 1.6649 Epoch 1/1... Batch: 7480... Discriminator Loss: 1.1426... Generator Loss: 1.1591 Epoch 1/1... Batch: 7490... Discriminator Loss: 1.0347... Generator Loss: 1.3402 Epoch 1/1... Batch: 7500... Discriminator Loss: 1.1448... Generator Loss: 1.3217
Epoch 1/1... Batch: 7510... Discriminator Loss: 0.8010... Generator Loss: 2.1084 Epoch 1/1... Batch: 7520... Discriminator Loss: 0.9048... Generator Loss: 1.4476 Epoch 1/1... Batch: 7530... Discriminator Loss: 1.1312... Generator Loss: 1.3197 Epoch 1/1... Batch: 7540... Discriminator Loss: 0.9464... Generator Loss: 1.0997 Epoch 1/1... Batch: 7550... Discriminator Loss: 0.9770... Generator Loss: 1.0426 Epoch 1/1... Batch: 7560... Discriminator Loss: 0.7730... Generator Loss: 0.9056 Epoch 1/1... Batch: 7570... Discriminator Loss: 1.2638... Generator Loss: 1.4050 Epoch 1/1... Batch: 7580... Discriminator Loss: 1.1005... Generator Loss: 1.4397 Epoch 1/1... Batch: 7590... Discriminator Loss: 0.8937... Generator Loss: 1.0846 Epoch 1/1... Batch: 7600... Discriminator Loss: 0.6896... Generator Loss: 1.3156
Epoch 1/1... Batch: 7610... Discriminator Loss: 1.1410... Generator Loss: 0.8646 Epoch 1/1... Batch: 7620... Discriminator Loss: 1.4196... Generator Loss: 0.8706 Epoch 1/1... Batch: 7630... Discriminator Loss: 0.9356... Generator Loss: 1.3213 Epoch 1/1... Batch: 7640... Discriminator Loss: 1.0330... Generator Loss: 1.0553 Epoch 1/1... Batch: 7650... Discriminator Loss: 0.9208... Generator Loss: 1.5960 Epoch 1/1... Batch: 7660... Discriminator Loss: 0.9928... Generator Loss: 1.5281 Epoch 1/1... Batch: 7670... Discriminator Loss: 0.8178... Generator Loss: 1.0403 Epoch 1/1... Batch: 7680... Discriminator Loss: 1.0448... Generator Loss: 1.1552 Epoch 1/1... Batch: 7690... Discriminator Loss: 0.9069... Generator Loss: 1.7965 Epoch 1/1... Batch: 7700... Discriminator Loss: 1.6874... Generator Loss: 1.0055
Epoch 1/1... Batch: 7710... Discriminator Loss: 1.3066... Generator Loss: 0.9237 Epoch 1/1... Batch: 7720... Discriminator Loss: 1.2139... Generator Loss: 0.9208 Epoch 1/1... Batch: 7730... Discriminator Loss: 0.9996... Generator Loss: 0.9783 Epoch 1/1... Batch: 7740... Discriminator Loss: 0.8601... Generator Loss: 1.7412 Epoch 1/1... Batch: 7750... Discriminator Loss: 1.2767... Generator Loss: 1.3502 Epoch 1/1... Batch: 7760... Discriminator Loss: 1.3229... Generator Loss: 1.1265 Epoch 1/1... Batch: 7770... Discriminator Loss: 0.9823... Generator Loss: 1.0678 Epoch 1/1... Batch: 7780... Discriminator Loss: 0.6509... Generator Loss: 1.9505 Epoch 1/1... Batch: 7790... Discriminator Loss: 1.2952... Generator Loss: 1.2610 Epoch 1/1... Batch: 7800... Discriminator Loss: 1.1968... Generator Loss: 1.3124
Epoch 1/1... Batch: 7810... Discriminator Loss: 0.8425... Generator Loss: 1.4168 Epoch 1/1... Batch: 7820... Discriminator Loss: 1.1900... Generator Loss: 1.5071 Epoch 1/1... Batch: 7830... Discriminator Loss: 1.0079... Generator Loss: 1.2826 Epoch 1/1... Batch: 7840... Discriminator Loss: 0.7946... Generator Loss: 1.8889 Epoch 1/1... Batch: 7850... Discriminator Loss: 1.0420... Generator Loss: 1.0345 Epoch 1/1... Batch: 7860... Discriminator Loss: 0.9873... Generator Loss: 1.2362 Epoch 1/1... Batch: 7870... Discriminator Loss: 0.9751... Generator Loss: 1.5664 Epoch 1/1... Batch: 7880... Discriminator Loss: 1.3875... Generator Loss: 1.6507 Epoch 1/1... Batch: 7890... Discriminator Loss: 0.8839... Generator Loss: 0.6797 Epoch 1/1... Batch: 7900... Discriminator Loss: 1.2034... Generator Loss: 1.8264
Epoch 1/1... Batch: 7910... Discriminator Loss: 1.3768... Generator Loss: 1.1616 Epoch 1/1... Batch: 7920... Discriminator Loss: 0.8514... Generator Loss: 1.3298 Epoch 1/1... Batch: 7930... Discriminator Loss: 1.1240... Generator Loss: 1.9417 Epoch 1/1... Batch: 7940... Discriminator Loss: 0.8774... Generator Loss: 1.4262 Epoch 1/1... Batch: 7950... Discriminator Loss: 0.8634... Generator Loss: 1.3359 Epoch 1/1... Batch: 7960... Discriminator Loss: 0.6433... Generator Loss: 1.5445 Epoch 1/1... Batch: 7970... Discriminator Loss: 0.6916... Generator Loss: 1.2996 Epoch 1/1... Batch: 7980... Discriminator Loss: 0.5240... Generator Loss: 2.2322 Epoch 1/1... Batch: 7990... Discriminator Loss: 1.0129... Generator Loss: 0.7583 Epoch 1/1... Batch: 8000... Discriminator Loss: 1.0679... Generator Loss: 0.9909
Epoch 1/1... Batch: 8010... Discriminator Loss: 0.8655... Generator Loss: 1.1851 Epoch 1/1... Batch: 8020... Discriminator Loss: 1.4076... Generator Loss: 1.6353 Epoch 1/1... Batch: 8030... Discriminator Loss: 0.9681... Generator Loss: 0.9804 Epoch 1/1... Batch: 8040... Discriminator Loss: 0.7891... Generator Loss: 1.0588 Epoch 1/1... Batch: 8050... Discriminator Loss: 1.3127... Generator Loss: 1.5259 Epoch 1/1... Batch: 8060... Discriminator Loss: 0.6266... Generator Loss: 1.2025 Epoch 1/1... Batch: 8070... Discriminator Loss: 0.7911... Generator Loss: 1.4136 Epoch 1/1... Batch: 8080... Discriminator Loss: 0.9136... Generator Loss: 1.6549 Epoch 1/1... Batch: 8090... Discriminator Loss: 1.0274... Generator Loss: 1.4590 Epoch 1/1... Batch: 8100... Discriminator Loss: 0.7506... Generator Loss: 1.8283
Epoch 1/1... Batch: 8110... Discriminator Loss: 1.0887... Generator Loss: 0.9964 Epoch 1/1... Batch: 8120... Discriminator Loss: 1.0262... Generator Loss: 1.4892 Epoch 1/1... Batch: 8130... Discriminator Loss: 0.8329... Generator Loss: 1.6908 Epoch 1/1... Batch: 8140... Discriminator Loss: 0.9205... Generator Loss: 1.9122 Epoch 1/1... Batch: 8150... Discriminator Loss: 0.9990... Generator Loss: 1.0499 Epoch 1/1... Batch: 8160... Discriminator Loss: 0.7199... Generator Loss: 1.8416 Epoch 1/1... Batch: 8170... Discriminator Loss: 0.9399... Generator Loss: 1.3334 Epoch 1/1... Batch: 8180... Discriminator Loss: 0.6818... Generator Loss: 1.4536 Epoch 1/1... Batch: 8190... Discriminator Loss: 0.7717... Generator Loss: 1.1858 Epoch 1/1... Batch: 8200... Discriminator Loss: 0.6096... Generator Loss: 2.0985
Epoch 1/1... Batch: 8210... Discriminator Loss: 1.0356... Generator Loss: 1.4985 Epoch 1/1... Batch: 8220... Discriminator Loss: 1.0925... Generator Loss: 1.3911 Epoch 1/1... Batch: 8230... Discriminator Loss: 0.7074... Generator Loss: 1.7322 Epoch 1/1... Batch: 8240... Discriminator Loss: 0.9026... Generator Loss: 1.3077 Epoch 1/1... Batch: 8250... Discriminator Loss: 0.8687... Generator Loss: 0.9318 Epoch 1/1... Batch: 8260... Discriminator Loss: 1.1967... Generator Loss: 1.7557 Epoch 1/1... Batch: 8270... Discriminator Loss: 1.1872... Generator Loss: 1.7214 Epoch 1/1... Batch: 8280... Discriminator Loss: 0.9926... Generator Loss: 1.3636 Epoch 1/1... Batch: 8290... Discriminator Loss: 0.7956... Generator Loss: 1.3732 Epoch 1/1... Batch: 8300... Discriminator Loss: 0.5611... Generator Loss: 1.7839
Epoch 1/1... Batch: 8310... Discriminator Loss: 1.3895... Generator Loss: 1.2584 Epoch 1/1... Batch: 8320... Discriminator Loss: 1.1405... Generator Loss: 2.1444 Epoch 1/1... Batch: 8330... Discriminator Loss: 0.8150... Generator Loss: 1.7723 Epoch 1/1... Batch: 8340... Discriminator Loss: 0.5646... Generator Loss: 1.9359 Epoch 1/1... Batch: 8350... Discriminator Loss: 1.1403... Generator Loss: 1.4496 Epoch 1/1... Batch: 8360... Discriminator Loss: 1.1898... Generator Loss: 1.6515 Epoch 1/1... Batch: 8370... Discriminator Loss: 1.0091... Generator Loss: 0.8865 Epoch 1/1... Batch: 8380... Discriminator Loss: 0.8307... Generator Loss: 1.4612 Epoch 1/1... Batch: 8390... Discriminator Loss: 0.7331... Generator Loss: 1.2841 Epoch 1/1... Batch: 8400... Discriminator Loss: 0.5156... Generator Loss: 1.6106
Epoch 1/1... Batch: 8410... Discriminator Loss: 0.9953... Generator Loss: 1.3164 Epoch 1/1... Batch: 8420... Discriminator Loss: 0.8845... Generator Loss: 1.4668 Epoch 1/1... Batch: 8430... Discriminator Loss: 0.6967... Generator Loss: 1.4713 Epoch 1/1... Batch: 8440... Discriminator Loss: 0.7425... Generator Loss: 0.7242 Epoch 1/1... Batch: 8450... Discriminator Loss: 1.0047... Generator Loss: 1.7339 Epoch 1/1... Batch: 8460... Discriminator Loss: 0.7680... Generator Loss: 0.9867 Epoch 1/1... Batch: 8470... Discriminator Loss: 1.1895... Generator Loss: 2.2991 Epoch 1/1... Batch: 8480... Discriminator Loss: 0.7514... Generator Loss: 1.2802 Epoch 1/1... Batch: 8490... Discriminator Loss: 1.0472... Generator Loss: 1.7303 Epoch 1/1... Batch: 8500... Discriminator Loss: 0.7477... Generator Loss: 1.5392
Epoch 1/1... Batch: 8510... Discriminator Loss: 0.8936... Generator Loss: 1.4148 Epoch 1/1... Batch: 8520... Discriminator Loss: 0.6771... Generator Loss: 0.9773 Epoch 1/1... Batch: 8530... Discriminator Loss: 0.9622... Generator Loss: 1.3099 Epoch 1/1... Batch: 8540... Discriminator Loss: 0.8358... Generator Loss: 1.5687 Epoch 1/1... Batch: 8550... Discriminator Loss: 0.8921... Generator Loss: 1.4982 Epoch 1/1... Batch: 8560... Discriminator Loss: 1.0163... Generator Loss: 1.0789 Epoch 1/1... Batch: 8570... Discriminator Loss: 0.5880... Generator Loss: 2.4260 Epoch 1/1... Batch: 8580... Discriminator Loss: 0.7552... Generator Loss: 1.3227 Epoch 1/1... Batch: 8590... Discriminator Loss: 1.2487... Generator Loss: 1.0153 Epoch 1/1... Batch: 8600... Discriminator Loss: 0.9912... Generator Loss: 1.0753
Epoch 1/1... Batch: 8610... Discriminator Loss: 0.6819... Generator Loss: 1.6234 Epoch 1/1... Batch: 8620... Discriminator Loss: 0.6015... Generator Loss: 1.7745 Epoch 1/1... Batch: 8630... Discriminator Loss: 1.0698... Generator Loss: 1.6657 Epoch 1/1... Batch: 8640... Discriminator Loss: 0.7738... Generator Loss: 1.2626 Epoch 1/1... Batch: 8650... Discriminator Loss: 0.9150... Generator Loss: 1.1414 Epoch 1/1... Batch: 8660... Discriminator Loss: 0.6048... Generator Loss: 1.9049 Epoch 1/1... Batch: 8670... Discriminator Loss: 1.4349... Generator Loss: 1.7740 Epoch 1/1... Batch: 8680... Discriminator Loss: 0.7217... Generator Loss: 1.8333 Epoch 1/1... Batch: 8690... Discriminator Loss: 0.9398... Generator Loss: 1.6671 Epoch 1/1... Batch: 8700... Discriminator Loss: 0.9503... Generator Loss: 0.8907
Epoch 1/1... Batch: 8710... Discriminator Loss: 0.9537... Generator Loss: 0.9564 Epoch 1/1... Batch: 8720... Discriminator Loss: 1.1514... Generator Loss: 2.2579 Epoch 1/1... Batch: 8730... Discriminator Loss: 0.8951... Generator Loss: 2.4627 Epoch 1/1... Batch: 8740... Discriminator Loss: 1.1016... Generator Loss: 1.5838 Epoch 1/1... Batch: 8750... Discriminator Loss: 1.0590... Generator Loss: 1.1723 Epoch 1/1... Batch: 8760... Discriminator Loss: 0.8146... Generator Loss: 1.5370 Epoch 1/1... Batch: 8770... Discriminator Loss: 0.7304... Generator Loss: 1.6170 Epoch 1/1... Batch: 8780... Discriminator Loss: 0.7830... Generator Loss: 1.2158 Epoch 1/1... Batch: 8790... Discriminator Loss: 1.0166... Generator Loss: 2.1743 Epoch 1/1... Batch: 8800... Discriminator Loss: 1.0209... Generator Loss: 0.6816
Epoch 1/1... Batch: 8810... Discriminator Loss: 0.6152... Generator Loss: 1.4678 Epoch 1/1... Batch: 8820... Discriminator Loss: 1.3291... Generator Loss: 1.6566 Epoch 1/1... Batch: 8830... Discriminator Loss: 1.7395... Generator Loss: 1.0614 Epoch 1/1... Batch: 8840... Discriminator Loss: 0.7577... Generator Loss: 1.7720 Epoch 1/1... Batch: 8850... Discriminator Loss: 1.0330... Generator Loss: 0.7193 Epoch 1/1... Batch: 8860... Discriminator Loss: 0.6580... Generator Loss: 1.9565 Epoch 1/1... Batch: 8870... Discriminator Loss: 0.9589... Generator Loss: 1.0535 Epoch 1/1... Batch: 8880... Discriminator Loss: 0.9221... Generator Loss: 1.7470 Epoch 1/1... Batch: 8890... Discriminator Loss: 0.8013... Generator Loss: 1.8614 Epoch 1/1... Batch: 8900... Discriminator Loss: 0.8466... Generator Loss: 1.1376
Epoch 1/1... Batch: 8910... Discriminator Loss: 0.8892... Generator Loss: 1.7967 Epoch 1/1... Batch: 8920... Discriminator Loss: 0.8156... Generator Loss: 1.3474 Epoch 1/1... Batch: 8930... Discriminator Loss: 0.5813... Generator Loss: 1.4599 Epoch 1/1... Batch: 8940... Discriminator Loss: 0.8344... Generator Loss: 1.4115 Epoch 1/1... Batch: 8950... Discriminator Loss: 0.8020... Generator Loss: 1.4644 Epoch 1/1... Batch: 8960... Discriminator Loss: 0.7366... Generator Loss: 0.7831 Epoch 1/1... Batch: 8970... Discriminator Loss: 1.0757... Generator Loss: 2.1640 Epoch 1/1... Batch: 8980... Discriminator Loss: 0.9422... Generator Loss: 1.4023 Epoch 1/1... Batch: 8990... Discriminator Loss: 1.0444... Generator Loss: 2.4234 Epoch 1/1... Batch: 9000... Discriminator Loss: 0.8490... Generator Loss: 1.7604
Epoch 1/1... Batch: 9010... Discriminator Loss: 0.9790... Generator Loss: 1.4562 Epoch 1/1... Batch: 9020... Discriminator Loss: 1.2249... Generator Loss: 1.2493 Epoch 1/1... Batch: 9030... Discriminator Loss: 0.6351... Generator Loss: 1.5407 Epoch 1/1... Batch: 9040... Discriminator Loss: 0.8207... Generator Loss: 1.8515 Epoch 1/1... Batch: 9050... Discriminator Loss: 0.7608... Generator Loss: 0.8708 Epoch 1/1... Batch: 9060... Discriminator Loss: 0.9168... Generator Loss: 1.5331 Epoch 1/1... Batch: 9070... Discriminator Loss: 0.8330... Generator Loss: 1.9360 Epoch 1/1... Batch: 9080... Discriminator Loss: 0.8618... Generator Loss: 1.8928 Epoch 1/1... Batch: 9090... Discriminator Loss: 1.0856... Generator Loss: 1.5023 Epoch 1/1... Batch: 9100... Discriminator Loss: 0.7989... Generator Loss: 1.5923
Epoch 1/1... Batch: 9110... Discriminator Loss: 0.7622... Generator Loss: 1.3480 Epoch 1/1... Batch: 9120... Discriminator Loss: 0.9780... Generator Loss: 1.9058 Epoch 1/1... Batch: 9130... Discriminator Loss: 0.9458... Generator Loss: 1.5529 Epoch 1/1... Batch: 9140... Discriminator Loss: 0.6570... Generator Loss: 1.7616 Epoch 1/1... Batch: 9150... Discriminator Loss: 1.1902... Generator Loss: 0.7825 Epoch 1/1... Batch: 9160... Discriminator Loss: 0.8594... Generator Loss: 1.6323 Epoch 1/1... Batch: 9170... Discriminator Loss: 0.6604... Generator Loss: 1.7214 Epoch 1/1... Batch: 9180... Discriminator Loss: 0.8688... Generator Loss: 1.1114 Epoch 1/1... Batch: 9190... Discriminator Loss: 1.3561... Generator Loss: 1.2096 Epoch 1/1... Batch: 9200... Discriminator Loss: 0.8580... Generator Loss: 1.5415
Epoch 1/1... Batch: 9210... Discriminator Loss: 0.7150... Generator Loss: 1.6074 Epoch 1/1... Batch: 9220... Discriminator Loss: 1.1424... Generator Loss: 1.3661 Epoch 1/1... Batch: 9230... Discriminator Loss: 0.9020... Generator Loss: 1.3125 Epoch 1/1... Batch: 9240... Discriminator Loss: 0.6988... Generator Loss: 2.3551 Epoch 1/1... Batch: 9250... Discriminator Loss: 1.0519... Generator Loss: 1.0970 Epoch 1/1... Batch: 9260... Discriminator Loss: 0.6629... Generator Loss: 1.4244 Epoch 1/1... Batch: 9270... Discriminator Loss: 0.9823... Generator Loss: 1.0437 Epoch 1/1... Batch: 9280... Discriminator Loss: 0.5400... Generator Loss: 2.1801 Epoch 1/1... Batch: 9290... Discriminator Loss: 1.1669... Generator Loss: 1.2615 Epoch 1/1... Batch: 9300... Discriminator Loss: 0.6748... Generator Loss: 2.0747
Epoch 1/1... Batch: 9310... Discriminator Loss: 1.2608... Generator Loss: 1.2857 Epoch 1/1... Batch: 9320... Discriminator Loss: 0.8657... Generator Loss: 0.8284 Epoch 1/1... Batch: 9330... Discriminator Loss: 1.3303... Generator Loss: 0.7589 Epoch 1/1... Batch: 9340... Discriminator Loss: 1.1874... Generator Loss: 1.1098 Epoch 1/1... Batch: 9350... Discriminator Loss: 0.9311... Generator Loss: 1.4263 Epoch 1/1... Batch: 9360... Discriminator Loss: 0.9222... Generator Loss: 1.3841 Epoch 1/1... Batch: 9370... Discriminator Loss: 1.0988... Generator Loss: 1.6776 Epoch 1/1... Batch: 9380... Discriminator Loss: 0.5380... Generator Loss: 1.7733 Epoch 1/1... Batch: 9390... Discriminator Loss: 0.7626... Generator Loss: 1.9236 Epoch 1/1... Batch: 9400... Discriminator Loss: 0.6189... Generator Loss: 1.8716
Epoch 1/1... Batch: 9410... Discriminator Loss: 1.1095... Generator Loss: 1.6236 Epoch 1/1... Batch: 9420... Discriminator Loss: 1.3530... Generator Loss: 1.1379 Epoch 1/1... Batch: 9430... Discriminator Loss: 1.2253... Generator Loss: 1.8497 Epoch 1/1... Batch: 9440... Discriminator Loss: 1.0795... Generator Loss: 0.7962 Epoch 1/1... Batch: 9450... Discriminator Loss: 1.2961... Generator Loss: 1.2306 Epoch 1/1... Batch: 9460... Discriminator Loss: 1.0249... Generator Loss: 1.5115 Epoch 1/1... Batch: 9470... Discriminator Loss: 1.0388... Generator Loss: 1.1196 Epoch 1/1... Batch: 9480... Discriminator Loss: 1.0388... Generator Loss: 0.9505 Epoch 1/1... Batch: 9490... Discriminator Loss: 0.9770... Generator Loss: 2.4851 Epoch 1/1... Batch: 9500... Discriminator Loss: 0.6620... Generator Loss: 0.8093
Epoch 1/1... Batch: 9510... Discriminator Loss: 0.6672... Generator Loss: 2.1084 Epoch 1/1... Batch: 9520... Discriminator Loss: 0.9081... Generator Loss: 1.8849 Epoch 1/1... Batch: 9530... Discriminator Loss: 1.0619... Generator Loss: 1.1617 Epoch 1/1... Batch: 9540... Discriminator Loss: 0.5520... Generator Loss: 1.0287 Epoch 1/1... Batch: 9550... Discriminator Loss: 0.8149... Generator Loss: 1.5355 Epoch 1/1... Batch: 9560... Discriminator Loss: 1.3445... Generator Loss: 1.3663 Epoch 1/1... Batch: 9570... Discriminator Loss: 1.2924... Generator Loss: 0.7577 Epoch 1/1... Batch: 9580... Discriminator Loss: 0.7590... Generator Loss: 1.7345 Epoch 1/1... Batch: 9590... Discriminator Loss: 1.0336... Generator Loss: 1.5161 Epoch 1/1... Batch: 9600... Discriminator Loss: 1.1623... Generator Loss: 1.8284
Epoch 1/1... Batch: 9610... Discriminator Loss: 1.1882... Generator Loss: 1.3335 Epoch 1/1... Batch: 9620... Discriminator Loss: 0.8004... Generator Loss: 1.7905 Epoch 1/1... Batch: 9630... Discriminator Loss: 1.1998... Generator Loss: 0.8671 Epoch 1/1... Batch: 9640... Discriminator Loss: 0.7822... Generator Loss: 1.4120 Epoch 1/1... Batch: 9650... Discriminator Loss: 0.9699... Generator Loss: 1.3073 Epoch 1/1... Batch: 9660... Discriminator Loss: 0.7011... Generator Loss: 1.5425 Epoch 1/1... Batch: 9670... Discriminator Loss: 0.7271... Generator Loss: 2.3316 Epoch 1/1... Batch: 9680... Discriminator Loss: 1.1883... Generator Loss: 0.7952 Epoch 1/1... Batch: 9690... Discriminator Loss: 0.7793... Generator Loss: 1.0586 Epoch 1/1... Batch: 9700... Discriminator Loss: 0.9303... Generator Loss: 1.2680
Epoch 1/1... Batch: 9710... Discriminator Loss: 1.3553... Generator Loss: 0.9103 Epoch 1/1... Batch: 9720... Discriminator Loss: 0.8791... Generator Loss: 1.7860 Epoch 1/1... Batch: 9730... Discriminator Loss: 0.8845... Generator Loss: 1.2733 Epoch 1/1... Batch: 9740... Discriminator Loss: 1.1925... Generator Loss: 1.3015 Epoch 1/1... Batch: 9750... Discriminator Loss: 0.8753... Generator Loss: 1.3646 Epoch 1/1... Batch: 9760... Discriminator Loss: 1.3427... Generator Loss: 1.5038 Epoch 1/1... Batch: 9770... Discriminator Loss: 0.9568... Generator Loss: 0.9198 Epoch 1/1... Batch: 9780... Discriminator Loss: 1.0298... Generator Loss: 1.2817 Epoch 1/1... Batch: 9790... Discriminator Loss: 0.9288... Generator Loss: 1.3191 Epoch 1/1... Batch: 9800... Discriminator Loss: 0.8901... Generator Loss: 1.8890
Epoch 1/1... Batch: 9810... Discriminator Loss: 0.7946... Generator Loss: 1.5932 Epoch 1/1... Batch: 9820... Discriminator Loss: 1.1738... Generator Loss: 0.9814 Epoch 1/1... Batch: 9830... Discriminator Loss: 0.9975... Generator Loss: 0.9772 Epoch 1/1... Batch: 9840... Discriminator Loss: 0.9336... Generator Loss: 1.4221 Epoch 1/1... Batch: 9850... Discriminator Loss: 0.9564... Generator Loss: 1.3706 Epoch 1/1... Batch: 9860... Discriminator Loss: 0.7862... Generator Loss: 1.6578 Epoch 1/1... Batch: 9870... Discriminator Loss: 1.0910... Generator Loss: 1.2123 Epoch 1/1... Batch: 9880... Discriminator Loss: 0.6526... Generator Loss: 1.3485 Epoch 1/1... Batch: 9890... Discriminator Loss: 0.8848... Generator Loss: 1.1409 Epoch 1/1... Batch: 9900... Discriminator Loss: 0.8975... Generator Loss: 0.9716
Epoch 1/1... Batch: 9910... Discriminator Loss: 1.0433... Generator Loss: 1.1064 Epoch 1/1... Batch: 9920... Discriminator Loss: 1.0028... Generator Loss: 1.1988 Epoch 1/1... Batch: 9930... Discriminator Loss: 1.0535... Generator Loss: 1.1622 Epoch 1/1... Batch: 9940... Discriminator Loss: 0.7639... Generator Loss: 1.5840 Epoch 1/1... Batch: 9950... Discriminator Loss: 1.3067... Generator Loss: 1.1460 Epoch 1/1... Batch: 9960... Discriminator Loss: 0.8911... Generator Loss: 1.7258 Epoch 1/1... Batch: 9970... Discriminator Loss: 0.7914... Generator Loss: 0.8373 Epoch 1/1... Batch: 9980... Discriminator Loss: 1.2202... Generator Loss: 1.0579 Epoch 1/1... Batch: 9990... Discriminator Loss: 0.6042... Generator Loss: 0.8037 Epoch 1/1... Batch: 10000... Discriminator Loss: 1.0864... Generator Loss: 1.7800
Epoch 1/1... Batch: 10010... Discriminator Loss: 0.9920... Generator Loss: 1.4087 Epoch 1/1... Batch: 10020... Discriminator Loss: 1.0757... Generator Loss: 1.1207 Epoch 1/1... Batch: 10030... Discriminator Loss: 0.9010... Generator Loss: 1.4100 Epoch 1/1... Batch: 10040... Discriminator Loss: 0.9048... Generator Loss: 1.7067 Epoch 1/1... Batch: 10050... Discriminator Loss: 0.6526... Generator Loss: 1.2341 Epoch 1/1... Batch: 10060... Discriminator Loss: 1.0754... Generator Loss: 1.7159 Epoch 1/1... Batch: 10070... Discriminator Loss: 1.1686... Generator Loss: 0.5499 Epoch 1/1... Batch: 10080... Discriminator Loss: 1.0787... Generator Loss: 1.9263 Epoch 1/1... Batch: 10090... Discriminator Loss: 0.9084... Generator Loss: 0.9509 Epoch 1/1... Batch: 10100... Discriminator Loss: 1.2303... Generator Loss: 1.1615
Epoch 1/1... Batch: 10110... Discriminator Loss: 0.8007... Generator Loss: 1.4509 Epoch 1/1... Batch: 10120... Discriminator Loss: 0.9459... Generator Loss: 1.5412 Epoch 1/1... Batch: 10130... Discriminator Loss: 1.1213... Generator Loss: 0.9300 Epoch 1/1... Batch: 10140... Discriminator Loss: 0.8022... Generator Loss: 2.0316 Epoch 1/1... Batch: 10150... Discriminator Loss: 0.6702... Generator Loss: 1.3244 Epoch 1/1... Batch: 10160... Discriminator Loss: 0.8912... Generator Loss: 0.7319 Epoch 1/1... Batch: 10170... Discriminator Loss: 0.9407... Generator Loss: 1.0666 Epoch 1/1... Batch: 10180... Discriminator Loss: 0.7587... Generator Loss: 1.3270 Epoch 1/1... Batch: 10190... Discriminator Loss: 1.1417... Generator Loss: 1.5722 Epoch 1/1... Batch: 10200... Discriminator Loss: 0.6723... Generator Loss: 1.5189
Epoch 1/1... Batch: 10210... Discriminator Loss: 1.0931... Generator Loss: 1.4542 Epoch 1/1... Batch: 10220... Discriminator Loss: 0.5092... Generator Loss: 1.7722 Epoch 1/1... Batch: 10230... Discriminator Loss: 0.8652... Generator Loss: 1.2530 Epoch 1/1... Batch: 10240... Discriminator Loss: 0.6184... Generator Loss: 1.7097 Epoch 1/1... Batch: 10250... Discriminator Loss: 0.8345... Generator Loss: 1.5137 Epoch 1/1... Batch: 10260... Discriminator Loss: 0.5842... Generator Loss: 1.4925 Epoch 1/1... Batch: 10270... Discriminator Loss: 0.7842... Generator Loss: 2.0080 Epoch 1/1... Batch: 10280... Discriminator Loss: 1.1014... Generator Loss: 1.4925 Epoch 1/1... Batch: 10290... Discriminator Loss: 0.5156... Generator Loss: 1.9701 Epoch 1/1... Batch: 10300... Discriminator Loss: 0.6704... Generator Loss: 0.7618
Epoch 1/1... Batch: 10310... Discriminator Loss: 0.6404... Generator Loss: 1.4399 Epoch 1/1... Batch: 10320... Discriminator Loss: 0.8139... Generator Loss: 1.0720 Epoch 1/1... Batch: 10330... Discriminator Loss: 0.7016... Generator Loss: 1.5590 Epoch 1/1... Batch: 10340... Discriminator Loss: 0.5443... Generator Loss: 1.8584 Epoch 1/1... Batch: 10350... Discriminator Loss: 0.6765... Generator Loss: 1.3757 Epoch 1/1... Batch: 10360... Discriminator Loss: 0.6230... Generator Loss: 1.4845 Epoch 1/1... Batch: 10370... Discriminator Loss: 1.0047... Generator Loss: 1.2736 Epoch 1/1... Batch: 10380... Discriminator Loss: 1.1358... Generator Loss: 1.0927 Epoch 1/1... Batch: 10390... Discriminator Loss: 1.0769... Generator Loss: 1.4726 Epoch 1/1... Batch: 10400... Discriminator Loss: 0.7816... Generator Loss: 2.0985
Epoch 1/1... Batch: 10410... Discriminator Loss: 0.5339... Generator Loss: 1.8970 Epoch 1/1... Batch: 10420... Discriminator Loss: 0.6741... Generator Loss: 1.3128 Epoch 1/1... Batch: 10430... Discriminator Loss: 1.2030... Generator Loss: 1.2682 Epoch 1/1... Batch: 10440... Discriminator Loss: 0.9298... Generator Loss: 1.1726 Epoch 1/1... Batch: 10450... Discriminator Loss: 1.1444... Generator Loss: 1.3944 Epoch 1/1... Batch: 10460... Discriminator Loss: 0.9237... Generator Loss: 2.2238 Epoch 1/1... Batch: 10470... Discriminator Loss: 1.3086... Generator Loss: 0.7155 Epoch 1/1... Batch: 10480... Discriminator Loss: 0.7473... Generator Loss: 2.3842 Epoch 1/1... Batch: 10490... Discriminator Loss: 0.5758... Generator Loss: 1.4506 Epoch 1/1... Batch: 10500... Discriminator Loss: 0.8171... Generator Loss: 1.2265
Epoch 1/1... Batch: 10510... Discriminator Loss: 0.4948... Generator Loss: 3.0031 Epoch 1/1... Batch: 10520... Discriminator Loss: 1.3557... Generator Loss: 0.7790 Epoch 1/1... Batch: 10530... Discriminator Loss: 0.9781... Generator Loss: 2.1559 Epoch 1/1... Batch: 10540... Discriminator Loss: 0.7398... Generator Loss: 2.2258 Epoch 1/1... Batch: 10550... Discriminator Loss: 0.9933... Generator Loss: 0.7647 Epoch 1/1... Batch: 10560... Discriminator Loss: 0.8883... Generator Loss: 2.0998 Epoch 1/1... Batch: 10570... Discriminator Loss: 1.3907... Generator Loss: 1.3852 Epoch 1/1... Batch: 10580... Discriminator Loss: 0.5161... Generator Loss: 0.8397 Epoch 1/1... Batch: 10590... Discriminator Loss: 0.6821... Generator Loss: 1.9284 Epoch 1/1... Batch: 10600... Discriminator Loss: 0.6258... Generator Loss: 1.5722
Epoch 1/1... Batch: 10610... Discriminator Loss: 0.9785... Generator Loss: 0.9527 Epoch 1/1... Batch: 10620... Discriminator Loss: 1.1325... Generator Loss: 2.0609 Epoch 1/1... Batch: 10630... Discriminator Loss: 0.6718... Generator Loss: 0.8228 Epoch 1/1... Batch: 10640... Discriminator Loss: 1.1748... Generator Loss: 1.6896 Epoch 1/1... Batch: 10650... Discriminator Loss: 0.7406... Generator Loss: 1.3462 Epoch 1/1... Batch: 10660... Discriminator Loss: 0.8708... Generator Loss: 1.6979 Epoch 1/1... Batch: 10670... Discriminator Loss: 1.1570... Generator Loss: 0.8867 Epoch 1/1... Batch: 10680... Discriminator Loss: 0.9308... Generator Loss: 1.0896 Epoch 1/1... Batch: 10690... Discriminator Loss: 0.8987... Generator Loss: 1.3379 Epoch 1/1... Batch: 10700... Discriminator Loss: 0.8479... Generator Loss: 1.2558
Epoch 1/1... Batch: 10710... Discriminator Loss: 0.9683... Generator Loss: 1.0622 Epoch 1/1... Batch: 10720... Discriminator Loss: 1.0779... Generator Loss: 0.9385 Epoch 1/1... Batch: 10730... Discriminator Loss: 0.8986... Generator Loss: 2.4015 Epoch 1/1... Batch: 10740... Discriminator Loss: 0.8403... Generator Loss: 1.5489 Epoch 1/1... Batch: 10750... Discriminator Loss: 0.9678... Generator Loss: 1.8494 Epoch 1/1... Batch: 10760... Discriminator Loss: 1.2419... Generator Loss: 1.6338 Epoch 1/1... Batch: 10770... Discriminator Loss: 0.7197... Generator Loss: 1.0897 Epoch 1/1... Batch: 10780... Discriminator Loss: 0.8734... Generator Loss: 0.8928 Epoch 1/1... Batch: 10790... Discriminator Loss: 1.0043... Generator Loss: 1.1151 Epoch 1/1... Batch: 10800... Discriminator Loss: 1.1746... Generator Loss: 1.3578
Epoch 1/1... Batch: 10810... Discriminator Loss: 0.9615... Generator Loss: 1.4345 Epoch 1/1... Batch: 10820... Discriminator Loss: 0.8886... Generator Loss: 0.9284 Epoch 1/1... Batch: 10830... Discriminator Loss: 0.8867... Generator Loss: 0.8891 Epoch 1/1... Batch: 10840... Discriminator Loss: 0.8668... Generator Loss: 1.3203 Epoch 1/1... Batch: 10850... Discriminator Loss: 1.2951... Generator Loss: 1.1439 Epoch 1/1... Batch: 10860... Discriminator Loss: 0.6898... Generator Loss: 1.8301 Epoch 1/1... Batch: 10870... Discriminator Loss: 0.9980... Generator Loss: 1.5768 Epoch 1/1... Batch: 10880... Discriminator Loss: 0.6370... Generator Loss: 1.6189 Epoch 1/1... Batch: 10890... Discriminator Loss: 1.2278... Generator Loss: 0.7324 Epoch 1/1... Batch: 10900... Discriminator Loss: 1.1241... Generator Loss: 1.7550
Epoch 1/1... Batch: 10910... Discriminator Loss: 0.8958... Generator Loss: 1.3105 Epoch 1/1... Batch: 10920... Discriminator Loss: 1.0481... Generator Loss: 1.5085 Epoch 1/1... Batch: 10930... Discriminator Loss: 1.1778... Generator Loss: 1.7116 Epoch 1/1... Batch: 10940... Discriminator Loss: 0.9438... Generator Loss: 1.4771 Epoch 1/1... Batch: 10950... Discriminator Loss: 0.9227... Generator Loss: 1.4122 Epoch 1/1... Batch: 10960... Discriminator Loss: 0.5792... Generator Loss: 1.1571 Epoch 1/1... Batch: 10970... Discriminator Loss: 0.8617... Generator Loss: 0.7323 Epoch 1/1... Batch: 10980... Discriminator Loss: 0.8357... Generator Loss: 1.2087 Epoch 1/1... Batch: 10990... Discriminator Loss: 0.9648... Generator Loss: 1.3320 Epoch 1/1... Batch: 11000... Discriminator Loss: 0.9042... Generator Loss: 1.3065
Epoch 1/1... Batch: 11010... Discriminator Loss: 0.7908... Generator Loss: 1.3266 Epoch 1/1... Batch: 11020... Discriminator Loss: 0.9508... Generator Loss: 0.9226 Epoch 1/1... Batch: 11030... Discriminator Loss: 0.8610... Generator Loss: 1.5129 Epoch 1/1... Batch: 11040... Discriminator Loss: 0.7542... Generator Loss: 1.3067 Epoch 1/1... Batch: 11050... Discriminator Loss: 1.3227... Generator Loss: 1.6222 Epoch 1/1... Batch: 11060... Discriminator Loss: 1.2546... Generator Loss: 1.4430 Epoch 1/1... Batch: 11070... Discriminator Loss: 0.8917... Generator Loss: 0.8564 Epoch 1/1... Batch: 11080... Discriminator Loss: 0.5620... Generator Loss: 1.2448 Epoch 1/1... Batch: 11090... Discriminator Loss: 1.0482... Generator Loss: 1.6950 Epoch 1/1... Batch: 11100... Discriminator Loss: 0.9024... Generator Loss: 1.5612
Epoch 1/1... Batch: 11110... Discriminator Loss: 0.5164... Generator Loss: 1.7620 Epoch 1/1... Batch: 11120... Discriminator Loss: 0.6761... Generator Loss: 1.6764 Epoch 1/1... Batch: 11130... Discriminator Loss: 0.8984... Generator Loss: 2.0562 Epoch 1/1... Batch: 11140... Discriminator Loss: 0.9371... Generator Loss: 2.2213 Epoch 1/1... Batch: 11150... Discriminator Loss: 0.7094... Generator Loss: 1.4532 Epoch 1/1... Batch: 11160... Discriminator Loss: 1.0348... Generator Loss: 1.3247 Epoch 1/1... Batch: 11170... Discriminator Loss: 0.8289... Generator Loss: 1.3971 Epoch 1/1... Batch: 11180... Discriminator Loss: 1.3225... Generator Loss: 1.9583 Epoch 1/1... Batch: 11190... Discriminator Loss: 0.4588... Generator Loss: 1.5376 Epoch 1/1... Batch: 11200... Discriminator Loss: 0.9749... Generator Loss: 1.6617
Epoch 1/1... Batch: 11210... Discriminator Loss: 1.0639... Generator Loss: 1.7438 Epoch 1/1... Batch: 11220... Discriminator Loss: 0.9566... Generator Loss: 1.2326 Epoch 1/1... Batch: 11230... Discriminator Loss: 1.3235... Generator Loss: 1.2690 Epoch 1/1... Batch: 11240... Discriminator Loss: 0.8733... Generator Loss: 0.9882 Epoch 1/1... Batch: 11250... Discriminator Loss: 0.8462... Generator Loss: 0.6109 Epoch 1/1... Batch: 11260... Discriminator Loss: 0.8845... Generator Loss: 1.1677 Epoch 1/1... Batch: 11270... Discriminator Loss: 0.9831... Generator Loss: 1.5984 Epoch 1/1... Batch: 11280... Discriminator Loss: 0.6130... Generator Loss: 1.9339 Epoch 1/1... Batch: 11290... Discriminator Loss: 0.6660... Generator Loss: 1.3166 Epoch 1/1... Batch: 11300... Discriminator Loss: 0.7590... Generator Loss: 1.3837
Epoch 1/1... Batch: 11310... Discriminator Loss: 0.8766... Generator Loss: 1.4714 Epoch 1/1... Batch: 11320... Discriminator Loss: 0.7725... Generator Loss: 1.9255 Epoch 1/1... Batch: 11330... Discriminator Loss: 0.8036... Generator Loss: 1.5959 Epoch 1/1... Batch: 11340... Discriminator Loss: 0.9161... Generator Loss: 1.3659 Epoch 1/1... Batch: 11350... Discriminator Loss: 1.0661... Generator Loss: 0.6767 Epoch 1/1... Batch: 11360... Discriminator Loss: 0.6195... Generator Loss: 1.9821 Epoch 1/1... Batch: 11370... Discriminator Loss: 0.6502... Generator Loss: 1.5511 Epoch 1/1... Batch: 11380... Discriminator Loss: 0.5685... Generator Loss: 1.9425 Epoch 1/1... Batch: 11390... Discriminator Loss: 1.1962... Generator Loss: 1.5504 Epoch 1/1... Batch: 11400... Discriminator Loss: 1.1664... Generator Loss: 1.4505
Epoch 1/1... Batch: 11410... Discriminator Loss: 0.6201... Generator Loss: 1.2433 Epoch 1/1... Batch: 11420... Discriminator Loss: 1.4982... Generator Loss: 1.9761 Epoch 1/1... Batch: 11430... Discriminator Loss: 0.7787... Generator Loss: 1.8120 Epoch 1/1... Batch: 11440... Discriminator Loss: 0.9536... Generator Loss: 1.3567 Epoch 1/1... Batch: 11450... Discriminator Loss: 1.0193... Generator Loss: 1.8739 Epoch 1/1... Batch: 11460... Discriminator Loss: 1.1274... Generator Loss: 0.9388 Epoch 1/1... Batch: 11470... Discriminator Loss: 1.0682... Generator Loss: 1.3857 Epoch 1/1... Batch: 11480... Discriminator Loss: 0.8115... Generator Loss: 1.5409 Epoch 1/1... Batch: 11490... Discriminator Loss: 0.7658... Generator Loss: 1.0014 Epoch 1/1... Batch: 11500... Discriminator Loss: 0.8316... Generator Loss: 1.4479
Epoch 1/1... Batch: 11510... Discriminator Loss: 0.8263... Generator Loss: 1.3592 Epoch 1/1... Batch: 11520... Discriminator Loss: 0.9682... Generator Loss: 1.2950 Epoch 1/1... Batch: 11530... Discriminator Loss: 0.9373... Generator Loss: 1.0466 Epoch 1/1... Batch: 11540... Discriminator Loss: 1.0566... Generator Loss: 0.8034 Epoch 1/1... Batch: 11550... Discriminator Loss: 0.7875... Generator Loss: 2.1350 Epoch 1/1... Batch: 11560... Discriminator Loss: 0.6894... Generator Loss: 1.7028 Epoch 1/1... Batch: 11570... Discriminator Loss: 0.9226... Generator Loss: 1.0465 Epoch 1/1... Batch: 11580... Discriminator Loss: 0.7784... Generator Loss: 1.6027 Epoch 1/1... Batch: 11590... Discriminator Loss: 0.8835... Generator Loss: 1.4892 Epoch 1/1... Batch: 11600... Discriminator Loss: 0.7680... Generator Loss: 1.2766
Epoch 1/1... Batch: 11610... Discriminator Loss: 0.7028... Generator Loss: 0.7890 Epoch 1/1... Batch: 11620... Discriminator Loss: 1.2178... Generator Loss: 0.8422 Epoch 1/1... Batch: 11630... Discriminator Loss: 1.0587... Generator Loss: 1.5145 Epoch 1/1... Batch: 11640... Discriminator Loss: 0.8736... Generator Loss: 1.7145 Epoch 1/1... Batch: 11650... Discriminator Loss: 0.6877... Generator Loss: 1.6053 Epoch 1/1... Batch: 11660... Discriminator Loss: 0.8301... Generator Loss: 1.1313 Epoch 1/1... Batch: 11670... Discriminator Loss: 1.1017... Generator Loss: 1.2096 Epoch 1/1... Batch: 11680... Discriminator Loss: 1.0091... Generator Loss: 1.6762 Epoch 1/1... Batch: 11690... Discriminator Loss: 0.7635... Generator Loss: 1.6628 Epoch 1/1... Batch: 11700... Discriminator Loss: 0.7072... Generator Loss: 1.9862
Epoch 1/1... Batch: 11710... Discriminator Loss: 0.7740... Generator Loss: 1.3709 Epoch 1/1... Batch: 11720... Discriminator Loss: 0.8485... Generator Loss: 1.5370 Epoch 1/1... Batch: 11730... Discriminator Loss: 0.7053... Generator Loss: 1.6092 Epoch 1/1... Batch: 11740... Discriminator Loss: 0.8096... Generator Loss: 1.6599 Epoch 1/1... Batch: 11750... Discriminator Loss: 0.7385... Generator Loss: 1.8273 Epoch 1/1... Batch: 11760... Discriminator Loss: 0.5925... Generator Loss: 2.0224 Epoch 1/1... Batch: 11770... Discriminator Loss: 0.8530... Generator Loss: 1.1620 Epoch 1/1... Batch: 11780... Discriminator Loss: 1.1234... Generator Loss: 0.9476 Epoch 1/1... Batch: 11790... Discriminator Loss: 0.8178... Generator Loss: 1.5101 Epoch 1/1... Batch: 11800... Discriminator Loss: 0.9744... Generator Loss: 1.2055
Epoch 1/1... Batch: 11810... Discriminator Loss: 1.0311... Generator Loss: 1.9286 Epoch 1/1... Batch: 11820... Discriminator Loss: 0.4204... Generator Loss: 2.0227 Epoch 1/1... Batch: 11830... Discriminator Loss: 0.6892... Generator Loss: 1.5125 Epoch 1/1... Batch: 11840... Discriminator Loss: 0.9276... Generator Loss: 0.7072 Epoch 1/1... Batch: 11850... Discriminator Loss: 1.2434... Generator Loss: 1.4214 Epoch 1/1... Batch: 11860... Discriminator Loss: 0.9995... Generator Loss: 1.8793 Epoch 1/1... Batch: 11870... Discriminator Loss: 0.6877... Generator Loss: 1.8795 Epoch 1/1... Batch: 11880... Discriminator Loss: 1.0336... Generator Loss: 0.9098 Epoch 1/1... Batch: 11890... Discriminator Loss: 0.6949... Generator Loss: 1.1861 Epoch 1/1... Batch: 11900... Discriminator Loss: 0.8101... Generator Loss: 1.5614
Epoch 1/1... Batch: 11910... Discriminator Loss: 0.7777... Generator Loss: 1.7453 Epoch 1/1... Batch: 11920... Discriminator Loss: 1.0241... Generator Loss: 1.1162 Epoch 1/1... Batch: 11930... Discriminator Loss: 0.8205... Generator Loss: 1.5003 Epoch 1/1... Batch: 11940... Discriminator Loss: 0.9018... Generator Loss: 0.9880 Epoch 1/1... Batch: 11950... Discriminator Loss: 1.1865... Generator Loss: 1.2733 Epoch 1/1... Batch: 11960... Discriminator Loss: 0.6961... Generator Loss: 1.9967 Epoch 1/1... Batch: 11970... Discriminator Loss: 0.7390... Generator Loss: 1.7086 Epoch 1/1... Batch: 11980... Discriminator Loss: 1.0351... Generator Loss: 2.2861 Epoch 1/1... Batch: 11990... Discriminator Loss: 0.8443... Generator Loss: 2.0906 Epoch 1/1... Batch: 12000... Discriminator Loss: 1.4495... Generator Loss: 1.0636
Epoch 1/1... Batch: 12010... Discriminator Loss: 0.9209... Generator Loss: 1.6141 Epoch 1/1... Batch: 12020... Discriminator Loss: 0.9622... Generator Loss: 1.0587 Epoch 1/1... Batch: 12030... Discriminator Loss: 1.3133... Generator Loss: 1.5947 Epoch 1/1... Batch: 12040... Discriminator Loss: 0.4689... Generator Loss: 1.3245 Epoch 1/1... Batch: 12050... Discriminator Loss: 0.7628... Generator Loss: 1.2007 Epoch 1/1... Batch: 12060... Discriminator Loss: 0.9435... Generator Loss: 1.8644 Epoch 1/1... Batch: 12070... Discriminator Loss: 0.6195... Generator Loss: 3.0397 Epoch 1/1... Batch: 12080... Discriminator Loss: 1.1352... Generator Loss: 1.3324 Epoch 1/1... Batch: 12090... Discriminator Loss: 0.6533... Generator Loss: 1.1002 Epoch 1/1... Batch: 12100... Discriminator Loss: 0.8595... Generator Loss: 1.1681
Epoch 1/1... Batch: 12110... Discriminator Loss: 0.7720... Generator Loss: 1.8102 Epoch 1/1... Batch: 12120... Discriminator Loss: 1.2026... Generator Loss: 1.2909 Epoch 1/1... Batch: 12130... Discriminator Loss: 1.1438... Generator Loss: 1.8690 Epoch 1/1... Batch: 12140... Discriminator Loss: 0.7754... Generator Loss: 1.6391 Epoch 1/1... Batch: 12150... Discriminator Loss: 0.6621... Generator Loss: 0.9835 Epoch 1/1... Batch: 12160... Discriminator Loss: 0.8879... Generator Loss: 0.8866 Epoch 1/1... Batch: 12170... Discriminator Loss: 1.2635... Generator Loss: 0.7723 Epoch 1/1... Batch: 12180... Discriminator Loss: 1.3556... Generator Loss: 0.7058 Epoch 1/1... Batch: 12190... Discriminator Loss: 0.6247... Generator Loss: 1.3975 Epoch 1/1... Batch: 12200... Discriminator Loss: 0.8788... Generator Loss: 1.9447
Epoch 1/1... Batch: 12210... Discriminator Loss: 0.8732... Generator Loss: 1.0531 Epoch 1/1... Batch: 12220... Discriminator Loss: 0.8099... Generator Loss: 1.4267 Epoch 1/1... Batch: 12230... Discriminator Loss: 0.9965... Generator Loss: 0.8460 Epoch 1/1... Batch: 12240... Discriminator Loss: 0.5054... Generator Loss: 0.9582 Epoch 1/1... Batch: 12250... Discriminator Loss: 0.7370... Generator Loss: 1.4521 Epoch 1/1... Batch: 12260... Discriminator Loss: 0.8336... Generator Loss: 2.1394 Epoch 1/1... Batch: 12270... Discriminator Loss: 1.4227... Generator Loss: 1.1028 Epoch 1/1... Batch: 12280... Discriminator Loss: 0.7953... Generator Loss: 1.3814 Epoch 1/1... Batch: 12290... Discriminator Loss: 0.6818... Generator Loss: 2.1033 Epoch 1/1... Batch: 12300... Discriminator Loss: 0.7805... Generator Loss: 0.9789
Epoch 1/1... Batch: 12310... Discriminator Loss: 1.0803... Generator Loss: 1.7406 Epoch 1/1... Batch: 12320... Discriminator Loss: 1.1289... Generator Loss: 1.2564 Epoch 1/1... Batch: 12330... Discriminator Loss: 0.8245... Generator Loss: 1.4378 Epoch 1/1... Batch: 12340... Discriminator Loss: 1.3670... Generator Loss: 0.7977 Epoch 1/1... Batch: 12350... Discriminator Loss: 0.8240... Generator Loss: 1.1238 Epoch 1/1... Batch: 12360... Discriminator Loss: 1.0282... Generator Loss: 0.9071 Epoch 1/1... Batch: 12370... Discriminator Loss: 0.8932... Generator Loss: 2.1297 Epoch 1/1... Batch: 12380... Discriminator Loss: 1.0615... Generator Loss: 1.5524 Epoch 1/1... Batch: 12390... Discriminator Loss: 0.7633... Generator Loss: 1.1688 Epoch 1/1... Batch: 12400... Discriminator Loss: 0.9721... Generator Loss: 1.7057
Epoch 1/1... Batch: 12410... Discriminator Loss: 1.2108... Generator Loss: 2.6874 Epoch 1/1... Batch: 12420... Discriminator Loss: 0.8285... Generator Loss: 1.0298 Epoch 1/1... Batch: 12430... Discriminator Loss: 0.8726... Generator Loss: 1.2999 Epoch 1/1... Batch: 12440... Discriminator Loss: 1.0326... Generator Loss: 1.6776 Epoch 1/1... Batch: 12450... Discriminator Loss: 0.7444... Generator Loss: 1.1002 Epoch 1/1... Batch: 12460... Discriminator Loss: 1.1371... Generator Loss: 2.1309 Epoch 1/1... Batch: 12470... Discriminator Loss: 1.0203... Generator Loss: 1.1663 Epoch 1/1... Batch: 12480... Discriminator Loss: 1.4494... Generator Loss: 1.0701 Epoch 1/1... Batch: 12490... Discriminator Loss: 0.6137... Generator Loss: 1.7004 Epoch 1/1... Batch: 12500... Discriminator Loss: 1.2434... Generator Loss: 0.8895
Epoch 1/1... Batch: 12510... Discriminator Loss: 0.7125... Generator Loss: 0.8463 Epoch 1/1... Batch: 12520... Discriminator Loss: 0.8368... Generator Loss: 1.6599 Epoch 1/1... Batch: 12530... Discriminator Loss: 0.7232... Generator Loss: 1.0120 Epoch 1/1... Batch: 12540... Discriminator Loss: 0.8982... Generator Loss: 1.2639 Epoch 1/1... Batch: 12550... Discriminator Loss: 0.9635... Generator Loss: 1.1008 Epoch 1/1... Batch: 12560... Discriminator Loss: 0.9403... Generator Loss: 1.3347 Epoch 1/1... Batch: 12570... Discriminator Loss: 0.8904... Generator Loss: 0.9493 Epoch 1/1... Batch: 12580... Discriminator Loss: 1.0155... Generator Loss: 1.8901 Epoch 1/1... Batch: 12590... Discriminator Loss: 1.1489... Generator Loss: 1.1598 Epoch 1/1... Batch: 12600... Discriminator Loss: 1.1094... Generator Loss: 1.2639
Epoch 1/1... Batch: 12610... Discriminator Loss: 0.8728... Generator Loss: 1.2932 Epoch 1/1... Batch: 12620... Discriminator Loss: 1.1493... Generator Loss: 1.3798 Epoch 1/1... Batch: 12630... Discriminator Loss: 0.5537... Generator Loss: 1.1896 Epoch 1/1... Batch: 12640... Discriminator Loss: 0.7708... Generator Loss: 1.4111 Epoch 1/1... Batch: 12650... Discriminator Loss: 0.5366... Generator Loss: 1.8480 Epoch 1/1... Batch: 12660... Discriminator Loss: 0.6996... Generator Loss: 2.0391
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.